Action Recognition
SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization
·4234 words·20 mins·
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AI Generated
🤗 Daily Papers
Computer Vision
Action Recognition
🏢 Unmanned System Research Institute, Northwestern Polytechnical University
SeFAR: a novel semi-supervised framework for fine-grained action recognition, achieves state-of-the-art results by using dual-level temporal modeling, moderate temporal perturbation, and adaptive regu…
DisCoRD: Discrete Tokens to Continuous Motion via Rectified Flow Decoding
·5447 words·26 mins·
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AI Generated
🤗 Daily Papers
Computer Vision
Action Recognition
🏢 Yonsei University
DisCoRD: Rectified flow decodes discrete motion tokens into continuous, natural movement, balancing faithfulness and realism.