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Online surgical phase recognition

Online surgical phase recognition: the first 40 videos to train, the last 40 videos to test.

Papers

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Showing 1–10 of 10 papers

TitleStatusHype
Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition—0
SurgPLAN++: Universal Surgical Phase Localization Network for Online and Offline InferenceCode0
DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase RecognitionCode0
MuST: Multi-Scale Transformers for Surgical Phase RecognitionCode1
Friends Across Time: Multi-Scale Action Segmentation Transformer for Surgical Phase Recognition—0
LoViT: Long Video Transformer for Surgical Phase RecognitionCode1
SKiT: a Fast Key Information Video Transformer for Online Surgical Phase RecognitionCode0
Not End-to-End: Explore Multi-Stage Architecture for Online Surgical Phase RecognitionCode1
Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognitionCode0
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic VideosCode1
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