SOTAVerified

Surgical phase recognition

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

Papers

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Showing 1–50 of 69 papers

TitleStatusHype
Surg-3M: A Dataset and Foundation Model for Perception in Surgical SettingsCode2
Pixel-Wise Recognition for Holistic Surgical Scene UnderstandingCode2
HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase RecognitionCode2
Less is More: Surgical Phase Recognition from Timestamp SupervisionCode1
LoViT: Long Video Transformer for Surgical Phase RecognitionCode1
Whether and When does Endoscopy Domain Pretraining Make Sense?Code1
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase RecognitionCode1
Dissecting Self-Supervised Learning Methods for Surgical Computer VisionCode1
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation TransformerCode1
MuST: Multi-Scale Transformers for Surgical Phase RecognitionCode1
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven ReasoningCode1
EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-trainingCode1
Exploring Segment-level Semantics for Online Phase Recognition from Surgical VideosCode1
Self-Supervised Learning for Endoscopic Video AnalysisCode1
Free Lunch for Surgical Video Understanding by Distilling Self-SupervisionsCode1
Not End-to-End: Explore Multi-Stage Architecture for Online Surgical Phase RecognitionCode1
EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery VideosCode1
Towards Holistic Surgical Scene UnderstandingCode1
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional NetworksCode1
Metrics Matter in Surgical Phase RecognitionCode0
DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase RecognitionCode0
Dual Invariance Self-training for Reliable Semi-supervised Surgical Phase RecognitionCode0
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognitionCode0
LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery VideosCode0
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video AnalysisCode0
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 Recognition—0
Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation—0
fine-CLIP: Enhancing Zero-Shot Fine-Grained Surgical Action Recognition with Vision-Language Models—0
Quantification of Robotic Surgeries with Vision-Based Deep Learning—0
Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin-based Scene Representation—0
ReSW-VL: Representation Learning for Surgical Workflow Analysis Using Vision-Language Model—0
Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotations—0
Robust Surgical Phase Recognition From Annotation Efficient Supervision—0
Self-Knowledge Distillation for Surgical Phase Recognition—0
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections—0
SF-TMN: SlowFast Temporal Modeling Network for Surgical Phase Recognition—0
Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016—0
ArthroPhase: A Novel Dataset and Method for Phase Recognition in Arthroscopic Video—0
ARST: Auto-Regressive Surgical Transformer for Phase Recognition from Laparoscopic Videos—0
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration—0
SuPRA: Surgical Phase Recognition and Anticipation for Intra-Operative Planning—0
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases—0
Surgeons vs. Computer Vision: A comparative analysis on surgical phase recognition capabilities—0
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All datasetsCholec80HeiChole BenchmarkMISAWGraSP

Benchmark Results

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