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Found 3 papers, 1 papers with code
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
In this paper, we present the challenge setup and assessment of the state-of-the-art deep learning methods proposed by the participants during the challenge.
Ranked #1 on
Action Triplet Recognition
on CholecT50 (Challenge)
(using extra training data)
Video-based Surgical Skills Assessment using Long term Tool Tracking
Our result suggests that using motion trajectories from reliable tracking methods is beneficial for assessing surgeon skills based solely on video streams.
SF-TMN: SlowFast Temporal Modeling Network for Surgical Phase Recognition
For better temporal modeling, we propose SlowFast Temporal Modeling Network (SF-TMN) for surgical phase recognition that can not only achieve frame-level full video temporal modeling but also achieve segment-level full video temporal modeling.
Ranked #1 on
Surgical phase recognition
on Cholec80
(Acc metric)
