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Action Triplet Recognition On Cholect50 1

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mAP

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이 벤치마크에서 각 모델의 성능 결과

모델 이름
mAP
Paper TitleRepository
Team Band of Broeders16.0CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Team SK18.4CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Rendezvous (PyTorch)32.8Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets
Team SJTU-IMR24.8CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Team Ceaiik25.2CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Team 2Ai36.9CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Team CAMP9.3CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Team ANL31.9CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Team Med Recognizer4.2CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Team Digital Surgery31.7CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Tripnet (TensorFlow v1)23.4Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
Attention Tripnet (TensorFlow v1)25.5CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Team J&M25.6CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Team HFUT-MedIA32.9CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Attention Tripnet (PyTorch)27.7Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets
Team Casia Robotics26.7CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Team HFUT-NUS9.8CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Team Lsgroup26.3CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
RiT: Rendezvous-in-Time30.94Rendezvous in Time: An Attention-based Temporal Fusion approach for Surgical Triplet Recognition
MoCo V2 Surg SSL - Rendezvous head35.7Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
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