{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/internvideo-ego4d-a-pack-of-champion","title":"InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges","arxiv_id":"2211.09529","date":"2022-11-17","proceeding":null,"authors":["Guo Chen","Sen Xing","Zhe Chen","Yi Wang","Kunchang Li","Yizhuo Li","Yi Liu","Jiahao Wang","Yin-Dong Zheng","Bingkun Huang","Zhiyu Zhao","Junting Pan","Yifei HUANG","Zun Wang","Jiashuo Yu","Yinan He","Hongjie Zhang","Tong Lu","Yali Wang","LiMin Wang","Yu Qiao"],"abstract":"In this report, we present our champion solutions to five tracks at Ego4D challenge. We leverage our developed InternVideo, a video foundation model, for five Ego4D tasks, including Moment Queries, Natural Language Queries, Future Hand Prediction, State Change Object Detection, and Short-term Object Interaction Anticipation. InternVideo-Ego4D is an effective paradigm to adapt the strong foundation model to the downstream ego-centric video understanding tasks with simple head designs. In these five tasks, the performance of InternVideo-Ego4D comprehensively surpasses the baseline methods and the champions of CVPR2022, demonstrating the powerful representation ability of InternVideo as a video foundation model. Our code will be released at https://github.com/OpenGVLab/ego4d-eccv2022-solutions","url_abs":"https://arxiv.org/abs/2211.09529v1","url_pdf":"https://arxiv.org/pdf/2211.09529v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"internvideo-ego4d-a-pack-of-champion","repo_url":"https://github.com/opengvlab/ego4d-eccv2022-solutions","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"internvideo-ego4d-a-pack-of-champion","repo_url":"https://github.com/jonnys1226/ego4d_asl","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"future-hand-prediction","task_name":"Future Hand Prediction"},{"task_slug":"moment-queries","task_name":"Moment Queries"},{"task_slug":"natural-language-queries","task_name":"Natural Language Queries"},{"task_slug":"object","task_name":"Object"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"short-term-object-interaction-anticipation","task_name":"Short-term Object Interaction Anticipation"},{"task_slug":"state-change-object-detection","task_name":"State Change Object Detection"},{"task_slug":"video-understanding","task_name":"Video Understanding"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[{"method_slug":"internvideo","method_name":"InternVideo"}],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/future-hand-prediction-on-ego4d","task":"Future Hand Prediction","dataset":"Ego4D","model":"InternVideo","rank_in_archive_order":1,"of":1,"metrics":{"C.Disp(Left)":"53.33","C.Disp(Right)":"53.37","Disp(Total)":"196.8","M.Disp(Left)":"43.25","M.Disp(Right)":"46.25"},"uses_additional_data":false},{"leaderboard":"/sota/natural-language-queries-on-ego4d","task":"Natural Language Queries","dataset":"Ego4D","model":"InternVideo","rank_in_archive_order":6,"of":10,"metrics":{"R@1 IoU=0.3":"16.45","R@1 IoU=0.5":"10.06","R@1 Mean(0.3 and 0.5)":"13.26","R@5 IoU=0.3":"22.95","R@5 IoU=0.5":"16.10"},"uses_additional_data":false},{"leaderboard":"/sota/short-term-object-interaction-anticipation-on","task":"Short-term Object Interaction Anticipation","dataset":"Ego4D","model":"InternVideo","rank_in_archive_order":4,"of":4,"metrics":{"Noun (Top5 mAP)":"24.6","Noun+TTC (Top5 mAP)":"7.64","Noun+Verb(Top5 mAP)":"9.18","Overall (Top5 mAP)":"3.4"},"uses_additional_data":false},{"leaderboard":"/sota/state-change-object-detection-on-ego4d","task":"State Change Object Detection","dataset":"Ego4D","model":"InternVideo","rank_in_archive_order":1,"of":1,"metrics":{"AP":"37.19","AP50":"55.97","AP75":"38.44"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/2211.09529","atlas_url":"https://app.syntology.ai/?focus=2211.09529","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}