{
 "id": "fnc1901/EgoDyn-Bench",
 "owner": "fnc1901",
 "name": "EgoDyn-Bench",
 "downloads": 446,
 "likes": 2,
 "last_modified": "2026-07-08T15:16:33.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
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 "file_licence": null,
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 "gated": false,
 "tasks": [
  "video-text-to-text",
  "visual-question-answering",
  "video-classification"
 ],
 "citation": "@inproceedings{schaefer2026egodyn,\n  title={EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving},\n  author={Sch{\\\"{a}}fer, Finn Rasmus and Gao, Yuan and Wang, Dingrui and Stauner, Thomas and G{\\\"{u}}nnemann, Stephan and Piccinini, Mattia and Schmidt, Sebastian and Betz, Johannes},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2026}\n}",
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}