SOTAVerified

Surgical phase recognition

The first 40 videos are used for training, the last 40 videos are used for testing.

Papers

Showing 2650 of 69 papers

TitleStatusHype
Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided RefinementCode0
SKiT: a Fast Key Information Video Transformer for Online Surgical Phase RecognitionCode0
SPRMamba: Surgical Phase Recognition for Endoscopic Submucosal Dissection with MambaCode0
SR-Mamba: Effective Surgical Phase Recognition with State Space ModelCode0
SurgPLAN++: Universal Surgical Phase Localization Network for Online and Offline InferenceCode0
Temporal coherence-based self-supervised learning for laparoscopic workflow analysisCode0
TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase RecognitionCode0
OperA: Attention-Regularized Transformers for Surgical Phase Recognition0
Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation0
fine-CLIP: Enhancing Zero-Shot Fine-Grained Surgical Action Recognition with Vision-Language Models0
Quantification of Robotic Surgeries with Vision-Based Deep Learning0
Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin-based Scene Representation0
ReSW-VL: Representation Learning for Surgical Workflow Analysis Using Vision-Language Model0
Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotations0
Robust Surgical Phase Recognition From Annotation Efficient Supervision0
Self-Knowledge Distillation for Surgical Phase Recognition0
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections0
SF-TMN: SlowFast Temporal Modeling Network for Surgical Phase Recognition0
Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 20160
ArthroPhase: A Novel Dataset and Method for Phase Recognition in Arthroscopic Video0
ARST: Auto-Regressive Surgical Transformer for Phase Recognition from Laparoscopic Videos0
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration0
SuPRA: Surgical Phase Recognition and Anticipation for Intra-Operative Planning0
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases0
Surgeons vs. Computer Vision: A comparative analysis on surgical phase recognition capabilities0
Show:102550
← PrevPage 2 of 3Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SF-TMN(ASFormer)Acc95.43Unverified
2LoViTF190.24Unverified
3MSNF189.6Unverified
4MuSTF185.57Unverified
5MoCo V2 Surg SSL - TCN headF181.6Unverified
6TCNF180.3Unverified
#ModelMetricClaimedVerifiedStatus
1MuSTF177.25Unverified
2CAMMA1 (challenge model)F168.8Unverified
3HIKVision (challenge model)F165.4Unverified
4CUHK (challenge model)F165Unverified
5MoCo V2 Surg SSL - TCN headF164.7Unverified
#ModelMetricClaimedVerifiedStatus
1MuSTmAP98.08Unverified
2TAPISmAP97.14Unverified
3TAPIRmAP94.24Unverified
#ModelMetricClaimedVerifiedStatus
1MuSTmAP79.14Unverified
2TAPISmAP76.72Unverified