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CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos

Dev.to / 4/25/2026

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Key Points

  • CoTracker3 proposes a new approach to point tracking that uses pseudo-labeling on real videos to make tracking simpler and more accurate.
  • The method leverages pseudo-generated supervision signals rather than relying solely on costly or limited manually labeled data.
  • By focusing on improving how training signals are obtained from real-world video, CoTracker3 aims to reduce complexity while boosting performance.
  • The article frames CoTracker3 as an evolution of point tracking techniques that can be more practical for real video scenarios.
  • Overall, the key contribution is a training/supervision strategy (pseudo-labeling real videos) intended to yield better point tracking results with less overhead.

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