A boundary-aware multi-stage transformer-TCN with hierarchical sliding-window attention reports improved F1@25/50 action segmentation on SAR-RARP50, Cholec80, and JIGSAWS, but with mixed gains on accuracy and edit score.
Medical image analysis 59, 101572
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Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos
A boundary-aware multi-stage transformer-TCN with hierarchical sliding-window attention reports improved F1@25/50 action segmentation on SAR-RARP50, Cholec80, and JIGSAWS, but with mixed gains on accuracy and edit score.