M2P: Improving Visual Foundation Models with Mask-to-Point Weakly-Supervised Learning for Dense Point Tracking
M2P: Improving Visual Foundation Models with Mask-to-Point Weakly-Supervised Learning for Dense Point Tracking explores M2P enhances visual foundation models for dense point tracking using weakly-supervised learning with video object segmentation.. Commercial viability score: 8/10 in Video Understanding.
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