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paper.bib
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@MISC{Jordahl2021,
title = "{geopandas/geopandas: v0.9.0}",
author = "Jordahl, Kelsey and Van den Bossche, Joris and Fleischmann, Martin
and McBride, James and Wasserman, Jacob and Gerard, Jeffrey",
month = "28~" # feb,
year = 2021,
url = "https://zenodo.org/record/4569086",
doi = "10.5281/zenodo.4569086"
}
@MISC{Grout2021,
title = "{ipywidgets: Interactive HTML Widgets}",
author = "Grout, Jason and Frederic, Jonathan and Corlay, Sylvain and Bugnion, Pascal and others",
institution = "Github",
year = 2021,
url = "https://github.com/jupyter-widgets/ipywidgets"
}
@ARTICLE{Kirillov2023,
title = "{Segment Anything}",
author = "Kirillov, Alexander and Mintun, Eric and Ravi, Nikhila and
Mao, Hanzi and Rolland, Chloe and Gustafson, Laura and Xiao,
Tete and Whitehead, Spencer and Berg, Alexander C and Lo,
Wan-Yen and Doll{\'a}r, Piotr and Girshick, Ross",
month = "5~" # apr,
year = 2023,
url = "http://arxiv.org/abs/2304.02643",
archivePrefix = "arXiv",
eprint = "2304.02643",
primaryClass = "cs.CV",
arxivid = "2304.02643"
}
@ARTICLE{Wu2021,
title = "{Leafmap: A Python package for interactive mapping and geospatial
analysis with minimal coding in a Jupyter environment}",
author = "Wu, Qiusheng",
journal = "Journal of open source software",
publisher = "The Open Journal",
volume = 6,
number = 63,
pages = "3414",
month = "26~" # jul,
year = 2021,
url = "https://joss.theoj.org/papers/10.21105/joss.03414",
copyright = "http://creativecommons.org/licenses/by/4.0/",
issn = "2475-9066",
doi = "10.21105/joss.03414"
}
@ARTICLE{Gillies2013,
title={Rasterio: Geospatial raster I/O for Python programmers},
author={Gillies, Sean and Ward, B and Petersen, AS and others},
publisher={GitHub},
url="https://github.com/rasterio/rasterio",
year=2013
}
@SOFTWARE{Wu2023,
title = {segment-anything-py: An unofficial Python package
for Meta AI's Segment Anything Model},
author = {Qiusheng Wu},
month = may,
year = 2023,
publisher = {Zenodo},
version = {1.0},
doi = {10.5281/zenodo.7948229},
url = {https://doi.org/10.5281/zenodo.7948229}
}
@ARTICLE{Zhang2023,
title={A Comprehensive Survey on Segment Anything Model for Vision and Beyond},
author={Chunhui Zhang and Li Liu and Yawen Cui and Guanjie Huang and Weilin Lin and Yiqian Yang and Yuehong Hu},
year={2023},
eprint={2305.08196},
archivePrefix={arXiv},
primaryClass={cs.CV},
doi={10.48550/arXiv.2305.08196},
url={https://doi.org/10.48550/arXiv.2305.08196}
}
@ARTICLE{Ma2023,
title={Segment Anything in Medical Images},
author={Jun Ma and Bo Wang},
year={2023},
eprint={2304.12306},
archivePrefix={arXiv},
primaryClass={eess.IV},
doi={10.48550/arXiv.2304.12306},
url={https://doi.org/10.48550/arXiv.2304.12306}
}
@SOFTWARE{Hancharenka2023,
title = {Segment-anything-eo: Earth observation tools for Meta AI Segment Anything},
author = {Aliaksandr Hancharenka},
month = april,
year = 2023,
publisher = {GitHub},
url = {https://github.com/aliaksandr960/segment-anything-eo}
}
@ARTICLE{Ji2023,
title={Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications},
author={Wei Ji and Jingjing Li and Qi Bi and Wenbo Li and Li Cheng},
year={2023},
eprint={2304.05750},
archivePrefix={arXiv},
primaryClass={cs.CV},
doi={10.48550/arXiv.2304.05750},
url={https://doi.org/10.48550/arXiv.2304.05750}
}
@ARTICLE{liu2023,
title={Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection},
author={Shilong Liu and Zhaoyang Zeng and Tianhe Ren and Feng Li and Hao Zhang and Jie Yang and Chunyuan Li and Jianwei Yang and Hang Su and Jun Zhu and Lei Zhang},
year={2023},
eprint={2303.05499},
archivePrefix={arXiv},
primaryClass={cs.CV}
}