SOTAVerified

Surgical phase recognition

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

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
Exploring Segment-level Semantics for Online Phase Recognition from Surgical VideosCode1
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase RecognitionCode1
Whether and When does Endoscopy Domain Pretraining Make Sense?Code1
MuST: Multi-Scale Transformers for Surgical Phase RecognitionCode1
Dissecting Self-Supervised Learning Methods for Surgical Computer VisionCode1
Not End-to-End: Explore Multi-Stage Architecture for Online Surgical Phase RecognitionCode1
Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation TransformerCode1
Free Lunch for Surgical Video Understanding by Distilling Self-SupervisionsCode1
EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery VideosCode1
Self-Supervised Learning for Endoscopic Video AnalysisCode1
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven ReasoningCode1
Towards Holistic Surgical Scene UnderstandingCode1
Less is More: Surgical Phase Recognition from Timestamp SupervisionCode1
TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional NetworksCode1
EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-trainingCode1
LoViT: Long Video Transformer for Surgical Phase RecognitionCode1
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
SF-TMN: SlowFast Temporal Modeling Network for Surgical Phase Recognition—0
ARST: Auto-Regressive Surgical Transformer for Phase Recognition from Laparoscopic Videos—0
ArthroPhase: A Novel Dataset and Method for Phase Recognition in Arthroscopic Video—0
Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy—0
Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark—0
DeepPhase: Surgical Phase Recognition in CATARACTS Videos—0
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases—0
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections—0
fine-CLIP: Enhancing Zero-Shot Fine-Grained Surgical Action Recognition with Vision-Language Models—0
Friends Across Time: Multi-Scale Action Segmentation Transformer for Surgical Phase Recognition—0
Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models—0
Less is More: Surgical Phase Recognition with Less Annotations through Self-Supervised Pre-training of CNN-LSTM Networks—0
Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition—0
MoSFormer: Augmenting Temporal Context with Memory of Surgery for Surgical Phase Recognition—0
Neural Finite-State Machines for Surgical Phase Recognition—0
OperA: Attention-Regularized Transformers for Surgical Phase Recognition—0
Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation—0
Quantification of Robotic Surgeries with Vision-Based Deep Learning—0
ReSW-VL: Representation Learning for Surgical Workflow Analysis Using Vision-Language Model—0
SuPRA: Surgical Phase Recognition and Anticipation for Intra-Operative Planning—0
Surgeons vs. Computer Vision: A comparative analysis on surgical phase recognition capabilities—0
Surgical Phase Recognition in Laparoscopic Cholecystectomy—0
Surgical Phase Recognition of Short Video Shots Based on Temporal Modeling of Deep Features—0
Surgical Temporal Action-aware Network with Sequence Regularization for Phase Recognition—0
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition—0
SurgPLAN: Surgical Phase Localization Network for Phase Recognition—0
Thoracic Surgery Video Analysis for Surgical Phase Recognition—0
Towards Intelligent Speech Assistants in Operating Rooms: A Multimodal Model for Surgical Workflow Analysis—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