AI RESEARCH
Fine-Grained Action Segmentation for Renorrhaphy in Robot-Assisted Partial Nephrectomy
arXiv CS.CV
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ArXi:2604.09051v1 Announce Type: new Fine-grained action segmentation during renorrhaphy in robot-assisted partial nephrectomy requires frame-level recognition of visually similar suturing gestures with variable duration and substantial class imbalance. The SIA-RAPN benchmark defines this problem on 50 clinical videos acquired with the da Vinci Xi system and annotated with 12 frame-level labels. The benchmark compares four temporal models built on I3D features: MS-TCN++, AsFormer, TUT, and DiffAct.