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S4VY: Segment Anything in Feed-Forward 4D Visual Geometry

Zhang, Jingdong et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Accurate instance segmentation in dynamic scenes is important for downstream applications such as robotics and autonomous driving. Existing Segment Anything models operate primarily on 2D image or video masks and preserve identity through sequential memory, while promptable 4D instance segmentation
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