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• W4309395888 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" @default.
• W4309395888 created "2022-11-26" @default.
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• W4309395888 date "2022-11-17" @default.
• W4309395888 modified "2023-10-18" @default.
• W4309395888 title "InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges" @default.
• W4309395888 doi "https://doi.org/10.48550/arxiv.2211.09529" @default.
• W4309395888 hasPublicationYear "2022" @default.
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