Website source code for https://hats-ict.github.io/x-ego-web/
X-Ego: Acquiring Team-Level Tactical Situational Awareness via Cross-Egocentric Contrastive Video Representation Learning
This work introduces X-Ego-CS, a benchmark dataset of 124 hours of gameplay footage from 45 professional Counter-Strike 2 matches, and Cross-Ego Contrastive Learning (CECL), a method for learning team-level tactical situational awareness from synchronized first-person video streams.
For code and dataset: https://github.com/HATS-ICT/x-ego
Parts of this project page were adopted from the Nerfies page.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
