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Found 6 papers, 6 papers with code
Surgical Action Triplet Detection by Mixed Supervised Learning of Instrument-Tissue Interactions
We analyze how the amount of instrument spatial annotations affects triplet detection and observe that accurate instrument localization does not guarantee better triplet detection due to the risk of erroneous associations with the verbs and targets.
CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection
This paper presents the CholecTriplet2022 challenge, which extends surgical action triplet modeling from recognition to detection.
Ranked #1 on
Action Triplet Detection
on CholecT50 (Challenge)
Rendezvous in Time: An Attention-based Temporal Fusion approach for Surgical Triplet Recognition
Focusing more on the verbs, our RiT explores the connectedness of current and past frames to learn temporal attention-based features for enhanced triplet recognition.
Ranked #1 on
Action Triplet Recognition
on CholecT45 (cross-val)
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Correct transfer of these methods to surgery, as described and conducted in this work, leads to substantial performance gains over generic uses of SSL - up to 7. 4% on phase recognition and 20% on tool presence detection - as well as state-of-the-art semi-supervised phase recognition approaches by up to 14%.
Ranked #1 on
Semantic Segmentation
on Endoscapes
Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection
Therefore, we propose a new baseline method for activity detection to tackle the novel challenges provided by our dataset.
VPN: Learning Video-Pose Embedding for Activities of Daily Living
The 2 key components of this VPN are a spatial embedding and an attention network.
Ranked #6 on
Action Classification
on Toyota Smarthome dataset
(using extra training data)
