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CoTracker: It is Better to Track Together
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2026-02-15 22:21:08
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CoTracker: It is Better to Track Together CoTracker: It is Better to Track Together Nikita Karaev 1,2 , Ignacio Rocco 1 , Benjamin Graham 1 , Natalia Neverova 1 , Andrea Vedaldi 1 , Christian Rupprecht 2 1 Meta AI 2 Visual Geometry Group, University of Oxford ECCV 2024 Paper Code 🤗 Demo Overview We introduce CoTracker, a transformer-based model that tracks dense points in a frame jointly across a video sequence. This differs from most existing state-of-the-art approaches that track points independently, ignoring their correlation. We show that joint tracking results in a significantly higher tracking accuracy and robustness. We also provide several technical innovations, including the concept of virtual tracks, which allows CoTracker to track 70k points jointly and simultaneously. Furthermore, CoTracker operates causally on short windows (hence, it is suitable for online tasks), ...
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