Action Triplet Recognition
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Benchmarks
CholecT50 (Challenge)
CholecT50
CholecT45 (cross-val)
CholecT50 (cross-val)
CholecT45
CholecT40
CholecT50(cross-val)
Most implemented
Benchmarking Deep Reinforcement Learning for Continuous Control
Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets
Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos
Papers
Optimize Surgical Triplet Recognition: A Knowledge-Driven Mixture-of-Experts Solution
Surgical action triplet recognition constitutes a critical task in context-aware robot-assisted surgery, facilitating automatic surgical action perception by identifying instrument, verb, target, and their association. H…
Action Triplet RecognitionSurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos
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…
Action Triplet RecognitionPolyp SegmentationDepth EstimationCurConMix+: A Unified Spatio-Temporal Framework for Hierarchical Surgical Workflow Understanding
Surgical action triplet recognition aims to understand fine-grained surgical behaviors by modeling the interactions among instruments, actions, and anatomical targets. Despite its clinical importance for workflow analysi…
Action Triplet RecognitionContrastive LearningGrounding Surgical Action Triplets with Instrument Instance Segmentation: A Dataset and Target-Aware Fusion Approach
Understanding surgical instrument-tissue interactions requires not only identifying which instrument performs which action on which anatomical target, but also grounding these interactions spatially within the surgical s…
Action Triplet RecognitionInstance SegmentationAction UnderstandingScene UnderstandingTowards Holistic Surgical Scene Graph
Surgical scene understanding is crucial for computer-assisted intervention systems, requiring visual comprehension of surgical scenes that involves diverse elements such as surgical tools, anatomical structures, and thei…
Action Triplet RecognitionScene UnderstandingDARIL: When Imitation Learning outperforms Reinforcement Learning in Surgical Action Planning
Surgical action planning requires predicting future instrument-verb-target triplets for real-time assistance. While teleoperated robotic surgery provides natural expert demonstrations for imitation learning (IL), reinfor…
Action Triplet RecognitionReinforcement LearningDecision Making