AI RESEARCH
SurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos
arXiv CS.CV
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ArXi:2602.05638v2 Announce Type: replace While foundation models have advanced surgical video analysis, current approaches rely predominantly on pixel-level reconstruction objectives that waste model capacity on low-level visual details, such as smoke, specular reflections, and fluid motion, rather than semantic structures essential for surgical understanding. We present SurgMotion, a video-native foundation model that shifts the learning paradigm from pixel-level reconstruction to latent motion prediction. Built on the Video Joint Embedding Predictive Architecture (V-JEPA), SurgMotion.