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Awesome Object Detection

Awesome Update

A curated list of object detection papers from 2021 to 2026, including real-time detection, end-to-end detection, open-vocabulary detection, oriented detection, small-object detection, and domain-robust detection.

Table of Contents

Paper List

Assignment, Loss, and Training

Year Pub Title Links Main Institution
2025 ICCV Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning [paper] [note] See paper
2025 ICCV Task-Specific Zero-shot Quantization-Aware Training for Object Detection [paper] [note] See paper
2024 CVPR Active Object Detection with Knowledge Aggregation and Distillation from Large Models [paper] [note] See paper
2024 ECCV Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction [paper] [note] See paper
2024 ECCV Bucketed Ranking-based Losses for Efficient Training of Object Detectors [paper] [note] See paper
2024 CVPR CrossKD: Cross-Head Knowledge Distillation for Object Detection [paper] [note] See paper
2024 ECCV Distilling Knowledge from Large-Scale Image Models for Object Detection [paper] [note] See paper
2024 ECCV On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines [paper] [note] See paper
2024 CVPR Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector [paper] [note] See paper
2024 NeurIPS Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts [paper] [note] See paper
2023 ICCV Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection [paper] [code] [note] See paper
2023 ICCV Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection [paper] [note] See paper
2023 CVPR Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection [paper] [code] [note] Mohamed bin Zayed University of Artificial Intelligence
2023 AAAI Correlation Loss: Enforcing Correlation between Classification and Localization [paper] [note] Middle East Technical University
2023 ICCV FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision [paper] [note] See paper
2023 CVPR Multiclass Confidence and Localization Calibration for Object Detection [paper] [note] See paper
2023 ICCV SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection [paper] [note] See paper
2023 ICCV Self-Supervised Object Detection from Egocentric Videos [paper] [note] See paper
2023 CVPR Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration [paper] [note] See paper
2023 ICCV UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors [paper] [note] See paper
2022 CVPR A Dual Weighting Label Assignment Scheme for Object Detection [paper] [note] See paper
2022 CVPR C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection [paper] [note] See paper
2022 CVPR Cross Domain Object Detection by Target-Perceived Dual Branch Distillation [paper] [note] See paper
2022 ECCV Distilling Object Detectors with Global Knowledge [paper] [note] See paper
2022 arXiv DSLA: Dynamic Smooth Label Assignment for Efficient Anchor-Free Object Detection [paper] [code] [note] See paper
2022 ECCV GLAMD: Global and Local Attention Mask Distillation for Object Detectors [paper] [note] See paper
2022 ECCV HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors [paper] [note] See paper
2022 NeurIPS Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes [paper] [note] See paper
2022 CVPR Localization Distillation for Dense Object Detection [paper] [note] See paper
2022 NeurIPS PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient [paper] [note] See paper
2022 ECCV Prediction-Guided Distillation for Dense Object Detection [paper] [note] See paper
2022 CVPR Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection [paper] [note] See paper
2022 ECCV Should All Proposals Be Treated Equally in Object Detection? [paper] [note] See paper
2022 NeurIPS Structural Knowledge Distillation for Object Detection [paper] [note] See paper
2022 NeurIPS Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning [paper] [note] See paper
2021 NeurIPS $\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression [paper] [note] See paper
2021 CVPR Adaptive Class Suppression Loss for Long-Tail Object Detection [paper] [note] See paper
2021 NeurIPS Bootstrap Your Object Detector via Mixed Training [paper] [note] See paper
2021 ICCV Deep Structured Instance Graph for Distilling Object Detectors [paper] [note] See paper
2021 ICCV DetCo: Unsupervised Contrastive Learning for Object Detection [paper] [note] See paper
2021 NeurIPS Distilling Image Classifiers in Object Detectors [paper] [note] See paper
2021 CVPR Distilling Object Detectors via Decoupled Features [paper] [note] See paper
2021 NeurIPS Distilling Object Detectors with Feature Richness [paper] [note] See paper
2021 ICCV G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-Guided Feature Imitation [paper] [note] See paper
2021 CVPR General Instance Distillation for Object Detection [paper] [note] See paper
2021 CVPR Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection [paper] [note] See paper
2021 ICCV GraphFPN: Graph Feature Pyramid Network for Object Detection [paper] [note] See paper
2021 NeurIPS Instance-Conditional Knowledge Distillation for Object Detection [paper] [note] See paper
2021 arXiv Mutual Supervision for Dense Object Detection [paper] [note] See paper
2021 CVPR OTA: Optimal Transport Assignment for Object Detection [paper] [code] [note] Megvii
2021 CVPRW Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection [paper] [code] [note] See paper
2021 NeurIPS Searching Parameterized AP Loss for Object Detection [paper] [note] See paper
2021 ICCV Self-Supervised Object Detection via Generative Image Synthesis [paper] [note] See paper
2021 ICCV TF-Blender: Temporal Feature Blender for Video Object Detection [paper] [note] See paper
2021 CVPR There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge [paper] [note] See paper
2021 ICCV TOOD: Task-aligned One-stage Object Detection [paper] [code] [note] SenseTime / SCUT
2021 ICCV Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image [paper] [note] See paper

DETR and End-to-End Detection

Year Pub Title Links Main Institution
2026 CVPR PaQ-DETR: Learning Pattern and Quality-Aware Dynamic Queries for Object Detection [paper] See paper
2025 ICCV Adversarial Attention Perturbations for Large Object Detection Transformers [paper] See paper
2025 NeurIPS CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors [paper] See paper
2025 ICLR D-FINE: Redefine Regression Task in DETRs as Fine-Grained Distribution Refinement [paper] [code] University of Sydney / Baidu
2025 CVPR DEIM: DETR with Improved Matching for Fast Convergence [paper] [code] Chinese Academy of Sciences
2025 ICCV EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision [paper] [code] See paper
2025 CVPR MI-DETR: An Object Detection Model with Multi-time Inquiries Mechanism [paper] See paper
2025 CVPR Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with MoE [paper] See paper
2025 CVPR Mr. DETR: Instructive Multi-Route Training for Detection Transformers [paper] See paper
2025 ICCV Sim-DETR: Unlock DETR for Temporal Sentence Grounding [paper] [code] See paper
2024 ECCV AugDETR: Improving Multi-scale Learning for Detection Transformer [paper] See paper
2024 ECCV DeTra: A Unified Model for Object Detection and Trajectory Forecasting [paper] See paper
2024 CVPR EASE-DETR: Easing the Competition among Object Queries [paper] See paper
2024 NeurIPS EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection [paper] See paper
2024 NeurIPS Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models [paper] See paper
2024 CVPR Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective [paper] See paper
2024 CVPR KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling [paper] See paper
2024 CVPR MS-DETR: Efficient DETR Training with Mixed Supervision [paper] See paper
2024 CVPR PairDETR : Joint Detection and Association of Human Bodies and Faces [paper] See paper
2024 ECCV Relation DETR: Exploring Explicit Position Relation Prior for Object Detection [paper] See paper
2024 CVPR Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement [paper] See paper
2023 NeurIPS Cal-DETR: Calibrated Detection Transformer [paper] See paper
2023 ICCV Cascade-DETR: Delving into High-Quality Universal Object Detection [paper] See paper
2023 CVPR CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection [paper] See paper
2023 NeurIPS DAC-DETR: Divide the Attention Layers and Conquer [paper] See paper
2023 ICCV Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection [paper] See paper
2023 CVPR Dense Distinct Query for End-to-End Object Detection [paper] [code] Shanghai AI Laboratory
2023 ICCV DETR Does Not Need Multi-Scale or Locality Design [paper] See paper
2023 ICCV DETRDistill: A Universal Knowledge Distillation Framework for DETR-families [paper] See paper
2023 ICCV DETRs with Collaborative Hybrid Assignments Training [paper] [code] SenseTime
2023 ICLR DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection [paper] [code] IDEA Research
2023 CVPR Enhanced Training of Query-Based Object Detection via Selective Query Recollection [paper] See paper
2023 CVPR Feature Aggregated Queries for Transformer-Based Video Object Detectors [paper] See paper
2023 arXiv Focal-Stable-DINO: A Strong and Reproducible Object Detector with Public Resources [paper] IDEA Research
2023 ICCV Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment [paper] See paper
2023 ICCV Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection [paper] See paper
2023 ICCV Less is More: Focus Attention for Efficient DETR [paper] See paper
2023 CVPR Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR [paper] See paper
2023 CVPR Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation [paper] See paper
2023 ICCV Meta-ZSDETR: Zero-shot DETR with Meta-learning [paper] See paper
2023 CVPR One-to-Few Label Assignment for End-to-End Dense Detection [paper] [code] See paper
2023 CVPR Q-DETR: An Efficient Low-Bit Quantized Detection Transformer [paper] See paper
2023 NeurIPS Rank-DETR for High Quality Object Detection [paper] See paper
2023 CVPR Recurrent Vision Transformers for Object Detection With Event Cameras [paper] See paper
2023 ICCV RecursiveDet: End-to-End Region-Based Recursive Object Detection [paper] See paper
2023 CVPR SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency [paper] See paper
2023 CVPR Siamese DETR [paper] See paper
2023 CVPR Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors [paper] See paper
2023 ICCV Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection [paper] See paper
2022 ECCV A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation [paper] See paper
2022 NeurIPS A Transformer-Based Object Detector with Coarse-Fine Crossing Representations [paper] See paper
2022 CVPR Accelerating DETR Convergence via Semantic-Aligned Matching [paper] See paper
2022 CVPR AdaMixer: A Fast-Converging Query-Based Object Detector [paper] See paper
2022 ICLR DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR [paper] [code] IDEA Research
2022 CVPR DESTR: Object Detection With Split Transformer [paper] See paper
2022 CVPR DETReg: Unsupervised Pretraining With Region Priors for Object Detection [paper] See paper
2022 CVPR DN-DETR: Accelerate DETR Training by Introducing Query DeNoising [paper] [code] IDEA Research
2022 ECCV Efficient Decoder-Free Object Detection with Transformers [paper] See paper
2022 ECCV Exploring Plain Vision Transformer Backbones for Object Detection [paper] See paper
2022 CVPR Lite-MDETR: A Lightweight Multi-Modal Detector [paper] See paper
2022 ECCV Object Detection As Probabilistic Set Prediction [paper] See paper
2022 CVPR Omni-DETR: Omni-Supervised Object Detection With Transformers [paper] See paper
2022 CVPR OW-DETR: Open-World Detection Transformer [paper] See paper
2022 CVPR Progressive End-to-End Object Detection in Crowded Scenes [paper] See paper
2022 ECCV PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer towards Video Object Detection [paper] See paper
2022 CVPR Training Object Detectors From Scratch: An Empirical Study in the Era of Vision Transformer [paper] See paper
2022 CVPR TubeDETR: Spatio-Temporal Video Grounding With Transformers [paper] See paper
2021 ICCV Conditional DETR for Fast Training Convergence [paper] [code] Microsoft Research Asia
2021 ICLR Deformable DETR: Deformable Transformers for End-to-End Object Detection [paper] [code] SenseTime / USTC
2021 ICCV Dynamic DETR: End-to-End Object Detection With Dynamic Attention [paper] See paper
2021 CVPR End-to-End Object Detection With Fully Convolutional Network [paper] See paper
2021 ICCV Fast Convergence of DETR With Spatially Modulated Co-Attention [paper] See paper
2021 ICCV MDETR - Modulated Detection for End-to-End Multi-Modal Understanding [paper] See paper
2021 ICCV PnP-DETR: Towards Efficient Visual Analysis With Transformers [paper] See paper
2021 ICCV Rethinking Transformer-Based Set Prediction for Object Detection [paper] See paper
2021 CVPR Sparse R-CNN: End-to-End Object Detection with Learnable Proposals [paper] [code] HKU / ByteDance
2021 CVPR UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers [paper] See paper
2021 ICCV WB-DETR: Transformer-Based Detector Without Backbone [paper] See paper
2021 NeurIPS You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection [paper] See paper

General Object Detection

Year Pub Title Links Main Institution
2026 CVPR A Closer Look at Cross-Domain Few-Shot Object Detection: Fine-Tuning Matters and Parallel Decoder Helps [paper] [code] [note] See paper
2026 CVPR Beyond Duality: A Hybrid Framework of Leveraging Shared and Private Features for RGB-Event Object Detection [paper] [note] See paper
2026 CVPR Distribution-Aligned Multimodal Fusion for Robust Object Detection [paper] [note] See paper
2026 CVPR DyFCLT: Dynamic Frequency-Decoupled Cross-Modal Learning Transformer for Multimodal Tiny Object Detection [paper] [note] See paper
2026 CVPR Explaining Object Detectors via Collective Contribution of Pixels [paper] [note] See paper
2026 CVPR Foundation Model Priors Enhance Object Focus in Feature Space for Source-Free Object Detection [paper] [note] See paper
2026 CVPR Heuristic-inspired Reasoning Priors Facilitate Data-Efficient Referring Object Detection [paper] [note] See paper
2026 CVPR InsCal: Calibrated Multi-Source Fully Test-Time Prompt Tuning for Object Detection [paper] [note] See paper
2026 CVPR Mind the Gap: Transferring Labels to Align Object Detection Datasets [paper] [note] See paper
2026 CVPR Online Data Curation for Object Detection via Marginal Contributions to Dataset-level Average Precision [paper] [note] See paper
2026 CVPR Partial Weakly-Supervised Oriented Object Detection [paper] [note] See paper
2026 CVPR Portable Active Learning for Object Detection [paper] [note] See paper
2026 CVPR RARE: Learn to RAnk and REtrieve for Monocular 3D Object Detection [paper] [note] See paper
2026 CVPR Remedying Target-Domain Astigmatism for Cross-Domain Few-Shot Object Detection [paper] [note] See paper
2026 CVPR RHCNet: Residual-Guided Hierarchical Calibration Network for Robust Underwater Object Detection [paper] [note] See paper
2026 CVPR Spike-driven Discrete Aggregation for Event-based Object Detection [paper] [note] See paper
2026 CVPR When Transformers Meet Mamba: A Hybrid Transformer-Mamba Network for Video Object Detection [paper] [note] See paper
2025 ICCV Automated Model Evaluation for Object Detection via Prediction Consistency and Reliability [paper] [code] [note] See paper
2025 ICCV Beyond RGB: Adaptive Parallel Processing for RAW Object Detection [paper] [note] See paper
2025 NeurIPS CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection [paper] [note] See paper
2025 ICCV Dark-ISP: Enhancing RAW Image Processing for Low-Light Object Detection [paper] [note] See paper
2025 CVPR Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention [paper] [note] See paper
2025 ICCV ForeSight: Multi-View Streaming Joint Object Detection and Trajectory Forecasting [paper] [note] See paper
2025 ICCV From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning [paper] [note] See paper
2025 ICCV LMM-Det: Make Large Multimodal Models Excel in Object Detection [paper] [code] [note] See paper
2025 CVPR Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset [paper] [code] [note] See paper
2025 CVPR Open-World Objectness Modeling Unifies Novel Object Detection [paper] [note] See paper
2025 NeurIPS ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection [paper] [note] See paper
2025 NeurIPS Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection [paper] [note] See paper
2025 ICCV Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights [paper] [code] [note] See paper
2025 CVPR Search and Detect: Training-Free Long Tail Object Detection via Web-Image Retrieval [paper] [note] See paper
2025 CVPR SparseAlign: a Fully Sparse Framework for Cooperative Object Detection [paper] [note] See paper
2025 CVPR Style Evolving along Chain-of-Thought for Unknown-Domain Object Detection [paper] [note] See paper
2025 NeurIPS T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints [paper] [note] See paper
2025 CVPR Test-Time Backdoor Detection for Object Detection Models [paper] [note] See paper
2025 CVPR Towards RAW Object Detection in Diverse Conditions [paper] [code] [note] See paper
2025 NeurIPS Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts [paper] [note] See paper
2025 ICCV Visual Modality Prompt for Adapting Vision-Language Object Detectors [paper] [code] [note] See paper
2024 ECCV A Simple Background Augmentation Method for Object Detection with Diffusion Model [paper] [note] See paper
2024 IJCV A Systematic Evaluation of Uncertainty Calibration in Pre-Trained Object Detectors [paper] [note] University of Kassel
2024 NeurIPS Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection [paper] [note] See paper
2024 NeurIPS AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection [paper] [note] See paper
2024 CVPR AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving [paper] [note] See paper
2024 ECCV Benchmarking Object Detectors with COCO: A New Path Forward [paper] [note] See paper
2024 ECCV Crowd-SAM:SAM as a smart annotator for object detection in crowded scenes [paper] [note] See paper
2024 CVPR D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection [paper] [note] See paper
2024 NeurIPS DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model [paper] [note] See paper
2024 NeurIPS DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection [paper] [note] See paper
2024 ECCV Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection [paper] [note] See paper
2024 CVPR Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment [paper] [note] See paper
2024 CVPR InstaGen: Enhancing Object Detection by Training on Synthetic Dataset [paper] [note] See paper
2024 ECCV Look Around and Learn: Self-Training Object Detection by Exploration [paper] [note] See paper
2024 ECCV Modality Translation for Object Detection Adaptation without forgetting prior knowledge [paper] [note] See paper
2024 CVPR Neural Exposure Fusion for High-Dynamic Range Object Detection [paper] [note] See paper
2024 NeurIPS ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models [paper] [note] See paper
2024 ECCV Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors [paper] [note] See paper
2024 ECCV Plain-Det: A Plain Multi-Dataset Object Detector [paper] [note] See paper
2024 ECCV Rectify the Regression Bias in Long-Tailed Object Detection [paper] [note] See paper
2024 ECCV Rethinking Features-Fused-Pyramid-Neck for Object Detection [paper] [note] See paper
2024 NeurIPS SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection [paper] [note] See paper
2024 NeurIPS Unsupervised Object Detection with Theoretical Guarantees [paper] [note] See paper
2023 ICCV A Dynamic Dual-Processing Object Detection Framework Inspired by the Brain's Recognition Mechanism [paper] [note] See paper
2023 ICCV AlignDet: Aligning Pre-training and Fine-tuning in Object Detection [paper] [note] See paper
2023 CVPR Angelic Patches for Improving Third-Party Object Detector Performance [paper] [note] See paper
2023 ICCV CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection [paper] [note] See paper
2023 CVPR Cut and Learn for Unsupervised Object Detection and Instance Segmentation [paper] [note] See paper
2023 ICCVW DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within Datasets [paper] [note] See paper
2023 ICCV Deep Directly-Trained Spiking Neural Networks for Object Detection [paper] [note] See paper
2023 ICCV Deep Equilibrium Object Detection [paper] [note] See paper
2023 CVPR Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding [paper] [note] See paper
2023 ICCV DiffusionDet: Diffusion Model for Object Detection [paper] [note] See paper
2023 CVPR DynamicDet: A Unified Dynamic Architecture for Object Detection [paper] [code] [note] Peking University
2023 CVPR Harmonious Teacher for Cross-Domain Object Detection [paper] [note] See paper
2023 NeurIPS HASSOD: Hierarchical Adaptive Self-Supervised Object Detection [paper] [note] See paper
2023 CVPR Learning Transformations To Reduce the Geometric Shift in Object Detection [paper] [note] See paper
2023 CVPR MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection [paper] [note] See paper
2023 NeurIPS Multi-modal Queried Object Detection in the Wild [paper] [note] See paper
2023 CVPR Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection [paper] [note] See paper
2023 CVPR Object Detection With Self-Supervised Scene Adaptation [paper] [note] See paper
2023 arXiv ObjectLab: Automated Diagnosis of Mislabeled Images in Object Detection Data [paper] [note] Cleanlab
2023 NeurIPS PrObeD: Proactive Object Detection Wrapper [paper] [note] See paper
2023 ICCV Random Boxes Are Open-world Object Detectors [paper] [note] See paper
2023 CVPR ScaleDet: A Scalable Multi-Dataset Object Detector [paper] [note] See paper
2023 ICCV StageInteractor: Query-based Object Detector with Cross-stage Interaction [paper] [note] See paper
2023 CVPR STDLens: Model Hijacking-Resilient Federated Learning for Object Detection [paper] [note] See paper
2023 CVPR T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection [paper] [note] See paper
2023 CVPR The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection [paper] [note] See paper
2023 CVPR Toward RAW Object Detection: A New Benchmark and a New Model [paper] [note] See paper
2023 CVPRW Training Strategies for Object Detection with Vision Transformers [paper] [note] See paper
2023 CVPR Unbalanced Optimal Transport: A Unified Framework for Object Detection [paper] [note] See paper
2023 CVPR Weak-Shot Object Detection Through Mutual Knowledge Transfer [paper] [note] See paper
2023 CVPR What Can Human Sketches Do for Object Detection? [paper] [note] See paper
2022 CVPR Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning [paper] [note] See paper
2022 arXiv BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training [paper] [code] [note] Amazon
2022 ECCV CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving [paper] [note] See paper
2022 CVPR Confidence Propagation Cluster: Unleash Full Potential of Object Detectors [paper] [note] See paper
2022 CVPR Dynamic Sparse R-CNN [paper] [note] See paper
2022 CVPR Explore Spatio-Temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline [paper] [note] See paper
2022 NeurIPS HumanLiker: A Human-like Object Detector to Model the Manual Labeling Process [paper] [note] See paper
2022 CVPR Interactive Multi-Class Tiny-Object Detection [paper] [note] See paper
2022 CVPR Interactron: Embodied Adaptive Object Detection [paper] [note] See paper
2022 CVPR Label, Verify, Correct: A Simple Few Shot Object Detection Method [paper] [note] See paper
2022 ECCV Multimodal Object Detection via Probabilistic Ensembling [paper] [note] See paper
2022 CVPR Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection [paper] [note] See paper
2022 ECCV ObjectBox: From Centers to Boxes for Anchor-Free Object Detection [paper] [note] See paper
2022 CVPR Optimal Correction Cost for Object Detection Evaluation [paper] [note] See paper
2022 CVPR Point-Level Region Contrast for Object Detection Pre-Training [paper] [note] See paper
2022 ECCV Point-to-Box Network for Accurate Object Detection via Single Point Supervision [paper] [note] See paper
2022 CVPR Proper Reuse of Image Classification Features Improves Object Detection [paper] [note] Google Research
2022 CVPR R(Det)2: Randomized Decision Routing for Object Detection [paper] [note] See paper
2022 CVPR Robust Region Feature Synthesizer for Zero-Shot Object Detection [paper] [note] See paper
2022 CVPR Self-Supervised Object Detection From Audio-Visual Correspondence [paper] [note] See paper
2022 CVPR Sequential Voting With Relational Box Fields for Active Object Detection [paper] [note] See paper
2022 CVPR SIOD: Single Instance Annotated per Category per Image for Object Detection [paper] [note] See paper
2022 CVPR Speed Up Object Detection on Gigapixel-Level Images With Patch Arrangement [paper] [note] See paper
2022 CVPR Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild [paper] [note] See paper
2022 CVPR Zero-Query Transfer Attacks on Context-Aware Object Detectors [paper] [note] See paper
2021 NeurIPS An Empirical Study of Adder Neural Networks for Object Detection [paper] [note] See paper
2021 CVPR AQD: Towards Accurate Quantized Object Detection [paper] [note] See paper
2021 CVPR Black-Box Explanation of Object Detectors via Saliency Maps [paper] [note] See paper
2021 ICCV CrossDet: Crossline Representation for Object Detection [paper] [note] See paper
2021 ACM MM Disentangle Your Dense Object Detector [paper] [code] [note] University of Science and Technology of China
2021 ICCV Domain-Invariant Disentangled Network for Generalizable Object Detection [paper] [note] See paper
2021 CVPR Domain-Specific Suppression for Adaptive Object Detection [paper] [note] See paper
2021 CVPR Dynamic Head: Unifying Object Detection Heads With Attentions [paper] [note] See paper
2021 CVPR GAIA: A Transfer Learning System of Object Detection That Fits Your Needs [paper] [note] See paper
2021 CVPR I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors [paper] [note] See paper
2021 CVPR Improved Handling of Motion Blur in Online Object Detection [paper] [note] See paper
2021 CVPR IQDet: Instance-Wise Quality Distribution Sampling for Object Detection [paper] [note] See paper
2021 NeurIPS Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity [paper] [note] See paper
2021 ICCV Morphable Detector for Object Detection on Demand [paper] [note] See paper
2021 ICCV Multitask AET With Orthogonal Tangent Regularity for Dark Object Detection [paper] [note] See paper
2021 CVPR Neural Auto-Exposure for High-Dynamic Range Object Detection [paper] [note] See paper
2021 ICCV ODAM: Object Detection, Association, and Mapping Using Posed RGB Video [paper] [note] See paper
2021 ICCV Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection [paper] [note] See paper
2021 CVPR RankDetNet: Delving Into Ranking Constraints for Object Detection [paper] [note] See paper
2021 ICCV Reconcile Prediction Consistency for Balanced Object Detection [paper] [note] See paper
2021 CVPR Scale-Aware Automatic Augmentation for Object Detection [paper] [note] See paper
2021 ICCV Seeking Similarities Over Differences: Similarity-Based Domain Alignment for Adaptive Object Detection [paper] [note] See paper
2021 CVPR The Translucent Patch: A Physical and Universal Attack on Object Detectors [paper] [note] See paper
2021 CVPR Unbiased Mean Teacher for Cross-Domain Object Detection [paper] [note] See paper
2021 CVPR UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation [paper] [note] See paper
2021 CVPR VarifocalNet: An IoU-Aware Dense Object Detector [paper] [note] See paper
2021 ICCV Vector-Decomposed Disentanglement for Domain-Invariant Object Detection [paper] [note] See paper

Open-Vocabulary and Grounded Detection

Year Pub Title Links Main Institution
2026 CVPR Boosting Vision-Language Models Towards Cross-Domain Incremental Object Detection [paper] See paper
2026 CVPR Consistency Beyond Contrast: Enhancing Open-Vocabulary Object Detection Robustness via Contextual Consistency Learning [paper] See paper
2026 arXiv DeCo-DETR: Decoupled Cognition DETR for Efficient Open-Vocabulary Object Detection [paper] University of Science and Technology of China
2026 arXiv FlowOVD: Learning Generative Latent Flows for Zero-shot Open-vocabulary Detection [paper] University of California, Merced
2026 CVPR NoOVD: Novel Category Discovery and Embedding for Open-Vocabulary Object Detection [paper] See paper
2026 arXiv OV-DEIM: Real-time DETR-Style Open-Vocabulary Object Detection with GridSynthetic Augmentation [paper] [code] University of Electronic Science and Technology of China
2026 CVPR Parameter-Efficient Semantic Augmentation for Enhancing Open-Vocabulary Object Detection [paper] See paper
2026 arXiv ProCal: Inference-Time Proposal Calibration for Open-Vocabulary Object Detection [paper] University of Maryland
2026 CVPR SRA-Det: Learning Omni-Grained Open-Vocabulary Detection Beyond Category Names [paper] See paper
2026 CVPR Thermal-Det: Language-Guided Cross-Modal Distillation for Open-Vocabulary Thermal Object Detection [paper] See paper
2026 CVPR Unlearning without Forgetting: Securely Removing Targeted Concepts from Large-Scale Vision-Language Open-Vocabulary Detectors [paper] See paper
2026 CVPR ViTPrompt: Training-Free Prompt Refinement with Visual Tokens for Open-Vocabulary Detection [paper] See paper
2026 arXiv VL-DINO: Leveraging CLIP Vision-Language Knowledge for Open-Vocabulary Object Detection [paper] University of Science and Technology of China
2026 arXiv VocaDet: Sample-Driven Open-Vocabulary Object Detection and Segmentation via Visual Tokenization and Vector Database Retrieval [paper] University of Technology Sydney
2026 CVPR WeDetect: Fast Open-Vocabulary Object Detection as Retrieval [paper] See paper
2025 ICCV 3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection [paper] See paper
2025 CVPR ABRA: Teleporting Fine-Tuned Knowledge Across Domains for Open-Vocabulary Object Detection [paper] See paper
2025 ICCV ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching [paper] See paper
2025 ICCV Benefit From Seen: Enhancing Open-Vocabulary Object Detection by Bridging Visual and Textual Co-Occurrence Knowledge [paper] See paper
2025 CVPR COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts [paper] See paper
2025 CVPR Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment [paper] See paper
2025 NeurIPS DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection [paper] See paper
2025 ICCV Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection [paper] [code] See paper
2025 NeurIPS GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection [paper] See paper
2025 CVPR LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models [paper] See paper
2025 NeurIPS Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection [paper] See paper
2025 CVPR OW-OVD: Unified Open World and Open Vocabulary Object Detection [paper] See paper
2025 CVPR Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection [paper] See paper
2025 NeurIPS Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models [paper] See paper
2025 CVPR ROD-MLLM: Towards More Reliable Object Detection in Multimodal Large Language Models [paper] See paper
2025 ICCV SFUOD: Source-Free Unknown Object Detection [paper] [code] See paper
2025 ICCV Visual Textualization for Image Prompted Object Detection [paper] See paper
2025 NeurIPS VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion [paper] See paper
2025 ICCV YOLOE: Real-Time Seeing Anything [paper] [code] Tsinghua University
2024 ECCV CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection [paper] See paper
2024 ECCV Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector [paper] See paper
2024 CVPR DetCLIPv3: Towards Versatile Generative Open-vocabulary Object Detection [paper] See paper
2024 NeurIPS Domain Adaptation for Large-Vocabulary Object Detectors [paper] See paper
2024 CVPR Exploring Orthogonality in Open World Object Detection [paper] See paper
2024 CVPR Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection [paper] See paper
2024 CVPR Generating Enhanced Negatives for Training Language-Based Object Detectors [paper] See paper
2024 CVPR Generative Region-Language Pretraining for Open-Ended Object Detection [paper] See paper
2024 ECCV LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction [paper] See paper
2024 CVPR Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection [paper] See paper
2024 ECCV MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection [paper] See paper
2024 NeurIPS Open-Vocabulary Object Detection via Language Hierarchy [paper] See paper
2024 ECCV Region-centric Image-Language Pretraining for Open-Vocabulary Detection [paper] See paper
2024 CVPR Retrieval-Augmented Open-Vocabulary Object Detection [paper] See paper
2024 NeurIPS Revisiting Few-Shot Object Detection with Vision-Language Models [paper] See paper
2024 CVPR Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection [paper] See paper
2024 CVPR SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection [paper] See paper
2024 ECCV T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy [paper] See paper
2024 CVPR Taming Self-Training for Open-Vocabulary Object Detection [paper] See paper
2024 CVPR The Devil is in the Fine-Grained Details: Evaluating Open-Vocabulary Object Detectors for Fine-Grained Understanding [paper] See paper
2024 NeurIPS UMB: Understanding Model Behavior for Open-World Object Detection [paper] See paper
2024 ECCV Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection [paper] See paper
2024 CVPR YOLO-World: Real-Time Open-Vocabulary Object Detection [paper] [code] Tencent AI Lab / SCUT
2024 NeurIPS Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection [paper] See paper
2023 CVPR Aligning Bag of Regions for Open-Vocabulary Object Detection [paper] See paper
2023 CVPR Annealing-Based Label-Transfer Learning for Open World Object Detection [paper] See paper
2023 NeurIPS CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection [paper] See paper
2023 CVPR CORA: Adapting CLIP for Open-Vocabulary Detection With Region Prompting and Anchor Pre-Matching [paper] See paper
2023 NeurIPS Described Object Detection: Liberating Object Detection with Flexible Expressions [paper] See paper
2023 CVPR DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-Training via Word-Region Alignment [paper] See paper
2023 CVPR Detecting Everything in the Open World: Towards Universal Object Detection [paper] See paper
2023 ICCV Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object Detection [paper] See paper
2023 ICCV EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment [paper] See paper
2023 arXiv Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection [paper] [code] IDEA Research
2023 CVPR Learning To Detect and Segment for Open Vocabulary Object Detection [paper] See paper
2023 ICCV Novel Scenes & Classes: Towards Adaptive Open-set Object Detection [paper] See paper
2023 CVPR Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection [paper] See paper
2023 ICCV OmniLabel: A Challenging Benchmark for Language-Based Object Detection [paper] See paper
2023 ICCV Open-Vocabulary Object Detection With an Open Corpus [paper] See paper
2023 CVPR PROB: Probabilistic Objectness for Open World Object Detection [paper] See paper
2023 CVPR Region-Aware Pretraining for Open-Vocabulary Object Detection With Vision Transformers [paper] See paper
2023 NeurIPS Scaling Open-Vocabulary Object Detection [paper] See paper
2023 CVPR Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects [paper] See paper
2023 ICCV Unsupervised Prompt Tuning for Text-Driven Object Detection [paper] See paper
2022 ECCV A Simple Approach and Benchmark for 21,000-Category Object Detection [paper] See paper
2022 NeurIPS Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection [paper] See paper
2022 ECCV Class-Agnostic Object Detection with Multi-modal Transformer [paper] See paper
2022 ECCV Detecting Twenty-Thousand Classes Using Image-Level Supervision [paper] [code] Meta AI
2022 CVPR Expanding Low-Density Latent Regions for Open-Set Object Detection [paper] See paper
2022 CVPR Grounded Language-Image Pre-training [paper] [code] Microsoft
2022 CVPR Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model [paper] See paper
2022 ECCV Open Vocabulary Object Detection with Pseudo Bounding-Box Labels [paper] See paper
2022 ECCV Open-Set Semi-Supervised Object Detection [paper] See paper
2022 ECCV Open-Vocabulary DETR with Conditional Matching [paper] See paper
2022 ECCV PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images [paper] See paper
2022 ECCV SemAug: Semantically Meaningful Image Augmentations for Object Detection through Language Grounding [paper] See paper
2022 ECCV Simple Open-Vocabulary Object Detection with Vision Transformers [paper] [code] Google Research
2022 ECCV X-DETR: A Versatile Architecture for Instance-Wise Vision-Language Tasks [paper] See paper
2021 CVPR Open-Vocabulary Object Detection Using Captions [paper] See paper
2021 CVPR Towards Open World Object Detection [paper] See paper

Open-World and Domain-Robust Detection

Year Pub Title Links Main Institution
2026 CVPR AgentDet: A Shared-Blackboard Multi-Agent Framework for Zero-/Few-Shot Object Detection [paper] See paper
2026 CVPR AntiStyler: Defending Object Detection Models Against Adversarial Patch Attacks Using Style Removal [paper] See paper
2026 CVPR Beyond Prompt Degradation: Prototype-Guided Dual-Pool Prompting for Incremental Object Detection [paper] [code] See paper
2026 CVPR Black-Box Domain Adaptation for Object Detection with Retention-Driven Knowledge Compression [paper] See paper
2026 CVPR CD-Buffer: Complementary Dual-Buffer Framework for Test-Time Adaptation in Adverse Weather Object Detection [paper] See paper
2026 CVPR DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection [paper] See paper
2026 CVPR Detecting Unknown Objects via Energy-based Separation for Open World Object Detection [paper] Korea Advanced Institute of Science and Technology
2026 CVPR EW-DETR: Evolving World Object Detection via Incremental Low-Rank DEtection TRansformer [paper] See paper
2026 CVPR Expert-Teacher-Student Collaborative Learning for Domain Adaptive Object Detection [paper] See paper
2026 CVPR Incremental Object Detection via Future-Aware Decoupled Cross-Head Distillation [paper] See paper
2026 CVPR Parameterized Prompt for Incremental Object Detection [paper] See paper
2026 arXiv Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality [paper] University of Tasmania
2025 CVPR Believing is Seeing: Unobserved Object Detection using Generative Models [paper] See paper
2025 CVPR Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery [paper] See paper
2025 CVPR Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices [paper] See paper
2025 ICCV Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios [paper] See paper
2025 ICCV Debiased Teacher for Day-to-Night Domain Adaptive Object Detection [paper] See paper
2025 NeurIPS Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy [paper] See paper
2025 ICCV Diffusion-based Source-biased Model for Single Domain Generalized Object Detection [paper] See paper
2025 NeurIPS Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection [paper] See paper
2025 NeurIPS DON'T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection [paper] See paper
2025 ICCV Dual-Rate Dynamic Teacher for Source-Free Domain Adaptive Object Detection [paper] See paper
2025 ICCV DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic [paper] See paper
2025 CVPR Efficient Test-Time Adaptive Object Detection via Sensitivity-Guided Pruning [paper] See paper
2025 NeurIPS ELDET: Early-Learning Distillation with Noisy Labels for Object Detection [paper] See paper
2025 NeurIPS End-to-End Low-Light Enhancement for Object Detection with Learned Metadata from RAWs [paper] See paper
2025 CVPR Fractal Calibration for Long-tailed Object Detection [paper] See paper
2025 ICCV Gradient Decomposition and Alignment for Incremental Object Detection [paper] See paper
2025 ICCV Gradient-Reweighted Adversarial Camouflage for Physical Object Detection Evasion [paper] See paper
2025 CVPR Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection [paper] [code] See paper
2025 CVPR Learning Endogenous Attention for Incremental Object Detection [paper] See paper
2025 ICCV PBCAT: Patch-Based Composite Adversarial Training against Physically Realizable Attacks on Object Detection [paper] See paper
2025 CVPR Revisiting Generative Replay for Class Incremental Object Detection [paper] See paper
2025 CVPR SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection [paper] See paper
2025 CVPR SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection [paper] See paper
2025 ICCV STEP-DETR: Advancing DETR-based Semi-Supervised Object Detection with Super Teacher and Pseudo-Label Guided Text Queries [paper] See paper
2025 NeurIPS Test-Time Adaptive Object Detection with Foundation Model [paper] See paper
2025 ICCV UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement [paper] [code] See paper
2025 ICCV When Pixel Difference Patterns Meet ViT: PiDiViT for Few-Shot Object Detection [paper] See paper
2024 CVPR Active Domain Adaptation with False Negative Prediction for Object Detection [paper] See paper
2024 ECCV Adaptive Multi-task Learning for Few-shot Object Detection [paper] See paper
2024 NeurIPS Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection [paper] See paper
2024 ECCV Bayesian Detector Combination for Object Detection with Crowdsourced Annotations [paper] See paper
2024 CVPR Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation [paper] See paper
2024 ECCV Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection [paper] See paper
2024 ECCV Can OOD Object Detectors Learn from Foundation Models? [paper] See paper
2024 CVPR CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection [paper] See paper
2024 NeurIPS Cloud Object Detector Adaptation by Integrating Different Source Knowledge [paper] See paper
2024 ECCV Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection [paper] See paper
2024 NeurIPS DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection [paper] See paper
2024 ECCV Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection [paper] See paper
2024 ECCV Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation [paper] See paper
2024 NeurIPS Fetch and Forge: Efficient Dataset Condensation for Object Detection [paper] See paper
2024 CVPR Few-Shot Object Detection with Foundation Models [paper] See paper
2024 NeurIPS Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction [paper] See paper
2024 ECCV MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos [paper] See paper
2024 CVPR Overload: Latency Attacks on Object Detection for Edge Devices [paper] See paper
2024 CVPR Plug and Play Active Learning for Object Detection [paper] See paper
2024 ECCV Revisiting Domain-Adaptive Object Detection in Adverse Weather by the Generation and Composition of High-Quality Pseudo-Labels [paper] See paper
2024 CVPR SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection [paper] See paper
2024 ECCV Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights [paper] See paper
2024 ECCV SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection [paper] See paper
2024 CVPR SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation [paper] See paper
2024 CVPR Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection [paper] See paper
2024 NeurIPS Towards Unsupervised Model Selection for Domain Adaptive Object Detection [paper] See paper
2024 CVPR Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection [paper] See paper
2024 CVPR What How and When Should Object Detectors Update in Continually Changing Test Domains? [paper] See paper
2024 NeurIPS You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection [paper] See paper
2023 CVPR 2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection [paper] See paper
2023 ICCV Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation [paper] See paper
2023 ICCV ALWOD: Active Learning for Weakly-Supervised Object Detection [paper] See paper
2023 CVPR Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection [paper] See paper
2023 CVPR AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection [paper] See paper
2023 ICCV Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection [paper] See paper
2023 ICCV Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data [paper] See paper
2023 CVPR CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection [paper] See paper
2023 CVPR CLIP the Gap: A Single Domain Generalization Approach for Object Detection [paper] See paper
2023 ICCV COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts [paper] See paper
2023 WACV ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-Based Mixing [paper] [code] University of Trento / FBK
2023 CVPR Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection [paper] See paper
2023 CVPR Continual Detection Transformer for Incremental Object Detection [paper] See paper
2023 CVPR Contrastive Mean Teacher for Domain Adaptive Object Detectors [paper] See paper
2023 ICCV CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection [paper] See paper
2023 ICCV Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection [paper] See paper
2023 CVPR DA-DETR: Domain Adaptive Detection Transformer With Information Fusion [paper] See paper
2023 CVPR DETR With Additional Global Aggregation for Cross-Domain Weakly Supervised Object Detection [paper] See paper
2023 CVPR DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection [paper] See paper
2023 arXiv DINF: Dynamic Instance Noise Filter for Occluded Pedestrian Detection [paper] See paper
2023 NeurIPS Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration [paper] See paper
2023 CVPRW Exploring the Role of Synthetic Data in Human Detection [paper] See paper
2023 ICCV FS-DETR: Few-Shot DEtection TRansformer with Prompting and without Re-Training [paper] See paper
2023 CVPR Generating Features with Increased Crop-Related Diversity for Few-Shot Object Detection [paper] See paper
2023 ICCV Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection [paper] See paper
2023 CVPR Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection [paper] See paper
2023 ICCV Label-Efficient Online Continual Object Detection in Streaming Video [paper] See paper
2023 NeurIPS Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection [paper] See paper
2023 ICCV Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection [paper] See paper
2023 CVPR Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection [paper] See paper
2023 CVPR MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection [paper] See paper
2023 CVPR Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains [paper] See paper
2023 NeurIPS Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection [paper] See paper
2023 CVPR NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging [paper] See paper
2023 ICCV Periodically Exchange Teacher-Student for Source-Free Object Detection [paper] See paper
2023 ICCV s-Adaptive Decoupled Prototype for Few-Shot Object Detection [paper] See paper
2023 CVPR Semi-DETR: Semi-Supervised Object Detection With Detection Transformers [paper] See paper
2023 ICCV SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining [paper] See paper
2023 ICCV Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes [paper] See paper
2023 ICCVW Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Object Detection [paper] Mitsubishi Electric Research Laboratories
2022 ECCV A Large-Scale Multiple-Objective Method for Black-Box Attack against Object Detection [paper] See paper
2022 ECCV AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection [paper] See paper
2022 ECCV Active Learning Strategies for Weakly-Supervised Object Detection [paper] See paper
2022 CVPR Active Teacher for Semi-Supervised Object Detection [paper] See paper
2022 CVPR Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection [paper] See paper
2022 ECCV Adversarially-Aware Robust Object Detector [paper] See paper
2022 ECCV AirDet: Few-Shot Detection without Fine-Tuning for Autonomous Exploration [paper] See paper
2022 CVPR Balanced and Hierarchical Relation Learning for One-Shot Object Detection [paper] See paper
2022 CVPR Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism [paper] See paper
2022 CVPR Cross-Domain Adaptive Teacher for Object Detection [paper] See paper
2022 NeurIPS Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation [paper] See paper
2022 CVPR Dense Learning Based Semi-Supervised Object Detection [paper] See paper
2022 ECCV Dense Teacher: Dense Pseudo-Labels for Semi-Supervised Object Detection [paper] See paper
2022 CVPR DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors [paper] See paper
2022 ECCV Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection [paper] See paper
2022 NeurIPS DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection [paper] See paper
2022 ECCV End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution [paper] See paper
2022 CVPR Entropy-Based Active Learning for Object Detection With Progressive Diversity Constraint [paper] See paper
2022 CVPR Equalized Focal Loss for Dense Long-Tailed Object Detection [paper] See paper
2022 ECCV Exploiting Unlabeled Data with Vision and Language Models for Object Detection [paper] See paper
2022 ECCV Exploring Resolution and Degradation Clues as Self-Supervised Signal for Low Quality Object Detection [paper] [code] See paper
2022 ECCV Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads [paper] See paper
2022 ECCV Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations [paper] See paper
2022 CVPR Few-Shot Object Detection With Fully Cross-Transformer [paper] See paper
2022 ECCV Few-Shot Object Detection with Model Calibration [paper] See paper
2022 ECCV Few-Shot Video Object Detection [paper] See paper
2022 CVPR Group R-CNN for Weakly Semi-Supervised Object Detection With Points [paper] See paper
2022 CVPR H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object Detection [paper] See paper
2022 CVPR Kernelized Few-Shot Object Detection With Efficient Integral Aggregation [paper] See paper
2022 CVPR Label Matching Semi-Supervised Object Detection [paper] See paper
2022 ECCV MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer [paper] See paper
2022 ECCV Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection [paper] See paper
2022 CVPR Multi-Granularity Alignment Domain Adaptation for Object Detection [paper] See paper
2022 CVPR MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection [paper] See paper
2022 ECCV Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection [paper] See paper
2022 ECCV Object Discovery via Contrastive Learning for Weakly Supervised Object Detection [paper] See paper
2022 CVPR Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation [paper] See paper
2022 arXiv Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond [paper] [code] See paper
2022 ECCV PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection [paper] See paper
2022 ECCV Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark [paper] See paper
2022 NeurIPS Rethinking Image Restoration for Object Detection [paper] See paper
2022 ECCV Robust Object Detection with Inaccurate Bounding Boxes [paper] See paper
2022 CVPR Salvage of Supervision in Weakly Supervised Object Detection [paper] See paper
2022 CVPR Scale-Equivalent Distillation for Semi-Supervised Object Detection [paper] See paper
2022 CVPR Segment and Complete: Defending Object Detectors Against Adversarial Patch Attacks With Robust Patch Detection [paper] See paper
2022 CVPR Semantic-Aligned Fusion Transformer for One-Shot Object Detection [paper] See paper
2022 CVPR Semi-Supervised Object Detection via Multi-Instance Alignment With Global Class Prototypes [paper] See paper
2022 ECCV Semi-Supervised Object Detection via Virtual Category Learning [paper] See paper
2022 CVPR SIGMA: Semantic-Complete Graph Matching for Domain Adaptive Object Detection [paper] See paper
2022 CVPR Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation [paper] See paper
2022 CVPR Source-Free Object Detection by Learning To Overlook Domain Style [paper] See paper
2022 CVPR Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection [paper] See paper
2022 ECCV TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information [paper] See paper
2022 CVPR Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection [paper] See paper
2022 CVPR Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection [paper] See paper
2022 CVPR Task-Specific Inconsistency Alignment for Domain Adaptive Object Detection [paper] See paper
2022 arXiv The Impact of Partial Occlusion on Pedestrian Detectability [paper] See paper
2022 ECCV Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection [paper] See paper
2022 NeurIPS Towards Improving Calibration in Object Detection Under Domain Shift [paper] See paper
2022 CVPR Towards Robust Adaptive Object Detection Under Noisy Annotations [paper] See paper
2022 ECCV UC-OWOD: Unknown-Classified Open World Object Detection [paper] See paper
2022 CVPR Unbiased Teacher v2: Semi-Supervised Object Detection for Anchor-Free and Anchor-Based Detectors [paper] See paper
2022 ECCV Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box [paper] See paper
2022 ECCV W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection [paper] See paper
2021 CVPR Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss [paper] See paper
2021 ICCV Active Learning for Deep Object Detection via Probabilistic Modeling [paper] See paper
2021 CVPR Adaptive Image Transformer for One-Shot Object Detection [paper] See paper
2021 CVPR Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection [paper] See paper
2021 ICCV Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters [paper] See paper
2021 NeurIPS Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection [paper] See paper
2021 ICCV CaT: Weakly Supervised Object Detection With Category Transfer [paper] See paper
2021 CVPR Class-Aware Robust Adversarial Training for Object Detection [paper] See paper
2021 CVPR Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection [paper] See paper
2021 ICCV DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection [paper] See paper
2021 CVPR Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection [paper] See paper
2021 ICCV Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection [paper] See paper
2021 ICCV End-to-End Semi-Supervised Object Detection With Soft Teacher [paper] See paper
2021 CVPR Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection [paper] See paper
2021 ICCV Exploring Classification Equilibrium in Long-Tailed Object Detection [paper] See paper
2021 NeurIPS Few-Shot Object Detection via Association and DIscrimination [paper] See paper
2021 CVPR Few-Shot Object Detection via Classification Refinement and Distractor Retreatment [paper] See paper
2021 CVPR FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding [paper] See paper
2021 NeurIPS Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement [paper] See paper
2021 CVPR Generalized Few-Shot Object Detection Without Forgetting [paper] See paper
2021 CVPR Hallucination Improves Few-Shot Object Detection [paper] See paper
2021 CVPR Humble Teachers Teach Better Students for Semi-Supervised Object Detection [paper] See paper
2021 CVPR Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection [paper] See paper
2021 CVPR Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework [paper] See paper
2021 CVPR Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection [paper] See paper
2021 CVPR Interpolation-Based Semi-Supervised Learning for Object Detection [paper] See paper
2021 ICCV Knowledge Mining and Transferring for Domain Adaptive Object Detection [paper] See paper
2021 CVPR MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection [paper] See paper
2021 ICCV MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection [paper] See paper
2021 ICCV Multi-Source Domain Adaptation for Object Detection [paper] See paper
2021 CVPR Multiple Instance Active Learning for Object Detection [paper] See paper
2021 ICCV Naturalistic Physical Adversarial Patch for Object Detectors [paper] See paper
2021 NeurIPS On Model Calibration for Long-Tailed Object Detection and Instance Segmentation [paper] See paper
2021 CVPR OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection [paper] See paper
2021 CVPR Points As Queries: Weakly Semi-Supervised Object Detection by Points [paper] See paper
2021 CVPR Positive-Unlabeled Data Purification in the Wild for Object Detection [paper] See paper
2021 ICCV Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks [paper] See paper
2021 CVPR Robust and Accurate Object Detection via Adversarial Learning [paper] See paper
2021 ICCV Robust Object Detection via Instance-Level Temporal Cycle Confusion [paper] See paper
2021 CVPR RPN Prototype Alignment for Domain Adaptive Object Detector [paper] See paper
2021 CVPR Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection [paper] See paper
2021 ICCV SimROD: A Simple Adaptation Method for Robust Object Detection [paper] See paper
2021 NeurIPS SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection [paper] See paper
2021 CVPR Transformation Invariant Few-Shot Object Detection [paper] See paper
2021 ICCV Universal-Prototype Enhancing for Few-Shot Object Detection [paper] See paper
2021 ICCV Wanderlust: Online Continual Object Detection in the Real World [paper] See paper

Small, Aerial, and Oriented Detection

Year Pub Title Links Main Institution
2026 CVPR Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-grained Object Detection in Remote Sensing Images [paper] [note] See paper
2026 CVPR BDNet: Bio-Inspired Dual-Backbone Small Object Detection Network [paper] [note] See paper
2026 CVPR CHAL: Causal-guided Hierarchical Anomaly-aware Learning for Moving Infrared Small Target Detection [paper] [note] See paper
2026 CVPR Fourier Angle Alignment for Oriented Object Detection in Remote Sensing [paper] [code] [note] See paper
2026 arXiv LOGOS: Language-guided Oriented Object Detection in Aerial Scenes [paper] [note] University of California, Santa Cruz
2026 CVPR RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation [paper] [note] See paper
2026 arXiv RiO-DETR: DETR for Real-time Oriented Object Detection [paper] [note] Nanjing University of Science and Technology
2026 CVPR Rotation Invariant and Symmetry Aware Pixel Difference Network for Remote Sensing Object Detection [paper] [note] See paper
2026 CVPR Seeing Through the Noise: Improving Infrared Small Target Detection and Segmentation from Noise Suppression Perspective [paper] [note] See paper
2026 CVPR Target-Aware Invertible Encoder with Reconstruction Guidance for Infrared Small Target Detection [paper] [note] See paper
2026 CVPR Towards Persistence: Learning Topological Constraints for Event-based Small Object Detection [paper] [note] See paper
2026 CVPR Tri-Modal Fusion Transformers for UAV-based Object Detection [paper] [note] See paper
2026 CVPR Visual Prototype Conditioned Focal Region Generation for UAV-Based Object Detection [paper] [note] See paper
2026 CVPR VLM4RSDet: Collaborative Optimization with Vision-Language Model for Enhancing Remote Sensing Object Detection [paper] [note] See paper
2025 CVPR ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects [paper] [note] See paper
2025 ICCV Active Learning Meets Foundation Models: Fast Remote Sensing Data Annotation for Object Detection [paper] [note] See paper
2025 CVPR AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation [paper] [note] See paper
2025 ICCV DM-EFS: Dynamically Multiplexed Expanded Features Set Form for Robust and Efficient Small Object Detection [paper] [note] See paper
2025 ICCV DoppDrive: Doppler-Driven Temporal Aggregation for Improved Radar Object Detection [paper] [note] See paper
2025 ICCV Dual Domain Control via Active Learning for Remote Sensing Domain Incremental Object Detection [paper] [note] See paper
2025 ICCV Event-based Tiny Object Detection: A Benchmark Dataset and Baseline [paper] [note] See paper
2025 CVPR Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection [paper] [note] See paper
2025 NeurIPS FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies [paper] [note] See paper
2025 ICCV From Easy to Hard: Progressive Active Learning Framework for Infrared Small Target Detection with Single Point Supervision [paper] [code] [note] See paper
2025 ICCV Fusion Meets Diverse Conditions: A High-diversity Benchmark and Baseline for UAV-based Multimodal Object Detection with Condition Cues [paper] [note] See paper
2025 CVPR GauCho: Gaussian Distributions with Cholesky Decomposition for Oriented Object Detection [paper] [note] See paper
2025 ICCV LLM-Assisted Semantic Guidance for Sparsely Annotated Remote Sensing Object Detection [paper] [note] See paper
2025 ICCV Measuring the Impact of Rotation Equivariance on Aerial Object Detection [paper] [code] [note] See paper
2025 NeurIPS Multimodal Causal Reasoning for UAV Object Detection [paper] [note] See paper
2025 NeurIPS Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection [paper] [note] See paper
2025 ICCV OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images [paper] [note] See paper
2025 CVPR PointSR: Self-Regularized Point Supervision for Drone-View Object Detection [paper] [note] See paper
2025 CVPR Pseudo Visible Feature Fine-Grained Fusion for Thermal Object Detection [paper] [note] See paper
2025 CVPR ReDiffDet: Rotation-equivariant Diffusion Model for Oriented Object Detection [paper] [note] See paper
2025 CVPR SET: Spectral Enhancement for Tiny Object Detection [paper] [note] See paper
2025 CVPR Small Target Detection Based on Mask-Enhanced Attention Fusion of Visible and Infrared Remote Sensing Images [paper] [note] See paper
2025 ICCV Superpowering Open-Vocabulary Object Detectors for X-ray Vision [paper] [note] See paper
2025 ICCV Uncertainty-Aware Gradient Stabilization for Small Object Detection [paper] [note] See paper
2025 ICCV VISO: Accelerating In-orbit Object Detection with Language-Guided Mask Learning and Sparse Inference [paper] [note] See paper
2025 ICCV WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection [paper] [note] See paper
2024 CVPR Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection [paper] [note] See paper
2024 CVPR CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation [paper] [note] See paper
2024 ECCV DQ-DETR: DETR with Dynamic Query for Tiny Object Detection [paper] [note] See paper
2024 NeurIPS Full-Distance Evasion of Pedestrian Detectors in the Physical World [paper] [note] See paper
2024 ECCV GRA: Detecting Oriented Objects through Group-wise Rotating and Attention [paper] [note] See paper
2024 ECCV Multi-scale Cross Distillation for Object Detection in Aerial Images [paper] [note] See paper
2024 ECCV MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection [paper] [note] See paper
2024 CVPR Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision [paper] [note] See paper
2024 CVPR PointOBB: Learning Oriented Object Detection via Single Point Supervision [paper] [note] See paper
2024 NeurIPS Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images [paper] [note] See paper
2024 ECCV Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation [paper] [note] See paper
2024 CVPR RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation [paper] [note] See paper
2024 CVPR Relational Matching for Weakly Semi-Supervised Oriented Object Detection [paper] [note] See paper
2024 CVPR Rethinking Boundary Discontinuity Problem for Oriented Object Detection [paper] [note] See paper
2024 CVPR Scene Adaptive Sparse Transformer for Event-based Object Detection [paper] [note] See paper
2024 CVPR Theoretically Achieving Continuous Representation of Oriented Bounding Boxes [paper] [note] See paper
2024 ECCV Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning [paper] [note] See paper
2024 CVPR Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection [paper] [note] See paper
2024 ECCV Visible and Clear: Finding Tiny Objects in Difference Map [paper] [note] See paper
2024 CVPR Weakly Misalignment-free Adaptive Feature Alignment for UAVs-based Multimodal Object Detection [paper] [note] See paper
2024 ECCV When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset [paper] [note] See paper
2023 ICCV Adaptive Rotated Convolution for Rotated Object Detection [paper] [note] See paper
2023 CVPR Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images [paper] [note] See paper
2023 CVPR Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection [paper] [note] See paper
2023 CVPR Gaussian Label Distribution Learning for Spherical Image Object Detection [paper] [note] See paper
2023 CVPR Generalized UAV Object Detection via Frequency Domain Disentanglement [paper] [note] See paper
2023 NeurIPS H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection [paper] [note] See paper
2023 ICCV Large Selective Kernel Network for Remote Sensing Object Detection [paper] [note] See paper
2023 CVPR Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving [paper] [note] See paper
2023 CVPR LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object Detection [paper] [note] See paper
2023 NeurIPS M$^{2}$SODAI: Multi-Modal Maritime Object Detection Dataset With RGB and Hyperspectral Image Sensors [paper] [note] See paper
2023 CVPR Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection [paper] [note] See paper
2023 CVPR Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection [paper] [note] See paper
2023 NeurIPS RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments [paper] [note] See paper
2023 CVPR ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector [paper] [note] See paper
2023 ICCV Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning [paper] [note] See paper
2023 CVPR SOOD: Towards Semi-Supervised Oriented Object Detection [paper] [note] See paper
2023 CVPR VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision [paper] [note] See paper
2022 NeurIPS Effectiveness of Vision Transformer for Fast and Accurate Single-Stage Pedestrian Detection [paper] [note] See paper
2022 CVPR Oriented RepPoints for Aerial Object Detection [paper] [note] See paper
2022 CVPR QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection [paper] [note] See paper
2022 ECCV RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection [paper] [note] See paper
2022 ICIP Slicing Aided Hyper Inference and Fine-Tuning for Small Object Detection [paper] [code] [note] OBSS
2022 CVPR Weakly Supervised Rotation-Invariant Aerial Object Detection Network [paper] [note] See paper
2021 CVPR Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection [paper] [note] See paper
2021 CVPR Generalizable Pedestrian Detection: The Elephant in the Room [paper] [note] See paper
2021 NeurIPS Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence [paper] [note] See paper
2021 ICCV Oriented R-CNN for Object Detection [paper] [note] See paper
2021 NeurIPS PolarStream: Streaming Object Detection and Segmentation with Polar Pillars [paper] [note] See paper
2021 CVPR ReDet: A Rotation-equivariant Detector for Aerial Object Detection [paper] [code] [note] Wuhan University
2021 ICCV Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar [paper] [note] See paper
2021 ICCV Robust Small-Scale Pedestrian Detection With Cued Recall via Memory Learning [paper] [note] See paper
2021 ICCV Stacked Homography Transformations for Multi-View Pedestrian Detection [paper] [note] See paper
2021 ICCV Towards Rotation Invariance in Object Detection [paper] [note] See paper
2021 CVPR Variational Pedestrian Detection [paper] [note] See paper

YOLO and Real-Time Detection

Year Pub Title Links Main Institution
2026 CVPR AKCMamba-YOLO: Selective State Space Models For Real-Time Object Detection [paper] [note] See paper
2026 CVPR D2FANet: Enhancing Video Object Detection with Dual-Domain Feature Aggregation Network [paper] [note] See paper
2026 CVPR Does YOLO Really Need to See Every Training Image in Every Epoch? [paper] [note] See paper
2026 arXiv MambaPSA: A Mamba-based Replacement for C2PSA in YOLO26 [paper] [note] National Taiwan University of Science and Technology
2026 arXiv No Attention, No Problem: DPU-Aware Attention Approximation in Modern YOLO on FPGA [paper] [note] Bremen University of Applied Sciences
2026 arXiv Ultralytics YOLO26: An End-to-End Edge-Optimized Vision Model [paper] [code] [note] Ultralytics
2026 CVPR YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection [paper] [note] See paper
2026 CVPR YOLO-ULM: Ultra-Lightweight Models for Real-Time Object Detection [paper] [note] See paper
2025 CVPR Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection [paper] [note] See paper
2025 NeurIPS Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection [paper] [note] See paper
2025 CVPR ReRAW: RGB-to-RAW Image Reconstruction via Stratified Sampling for Efficient Object Detection on the Edge [paper] [note] See paper
2025 NeurIPS YOLOv12: Attention-Centric Real-Time Object Detectors [paper] [code] [note] University at Buffalo / UCAS
2025 arXiv YOLOv13: Real-Time Object Detection with Hypergraph-Enhanced Adaptive Visual Perception [paper] [code] [note] See paper
2024 CVPR DETRs Beat YOLOs on Real-Time Object Detection [paper] [code] [note] Baidu
2024 ECCV Integer-Valued Training and Spike-driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection [paper] [note] See paper
2024 CVPR LEOD: Label-Efficient Object Detection for Event Cameras [paper] [note] See paper
2024 arXiv LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection [paper] [code] [note] Microsoft Research Asia
2024 CVPR SFOD: Spiking Fusion Object Detector [paper] [note] See paper
2024 NeurIPS YOLOv10: Real-Time End-to-End Object Detection [paper] [code] [note] Tsinghua University
2024 arXiv YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information [paper] [code] [note] Academia Sinica
2023 ICCV FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs [paper] [note] See paper
2023 NeurIPS Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism [paper] [code] [note] Huawei Noah's Ark Lab
2023 ICCV Identity-Consistent Aggregation for Video Object Detection [paper] [note] See paper
2023 CVPR Learned Two-Plane Perspective Prior Based Image Resampling for Efficient Object Detection [paper] [note] See paper
2023 ICCV Objects Do Not Disappear: Video Object Detection by Single-Frame Object Location Anticipation [paper] [note] See paper
2023 arXiv Real-Time Flying Object Detection with YOLOv8 [paper] [note] See paper
2023 CVPR YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors [paper] [code] [note] Academia Sinica
2023 AAAI YOLOV: Making Still Image Object Detectors Great at Video Object Detection [paper] [code] [note] See paper
2022 ECCV Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection [paper] [note] See paper
2022 arXiv DAMO-YOLO: A Report on Real-Time Object Detection Design [paper] [code] [note] Alibaba Group
2022 ECCV EAutoDet: Efficient Architecture Search for Object Detection [paper] [note] See paper
2022 ECCV Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency [paper] [note] See paper
2022 arXiv PP-YOLOE: An Evolved Version of YOLO [paper] [code] [note] Baidu
2022 CVPR Real-Time Object Detection for Streaming Perception [paper] [note] See paper
2022 arXiv RTMDet: An Empirical Study of Designing Real-Time Object Detectors [paper] [code] [note] OpenMMLab
2022 ECCV SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection [paper] [note] See paper
2022 CVPR SmartAdapt: Multi-Branch Object Detection Framework for Videos on Mobiles [paper] [note] See paper
2021 CVPR MobileDets: Searching for Object Detection Architectures for Mobile Accelerators [paper] [note] See paper
2021 CVPR Scaled-YOLOv4: Scaling Cross Stage Partial Network [paper] [note] See paper
2021 arXiv YOLO5Face: Why Reinventing a Face Detector [paper] [code] [note] Deepcam
2021 arXiv YOLOX: Exceeding YOLO Series in 2021 [paper] [code] [note] Megvii

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