Surgical Phase Recognition On Cholec80 1
Métriques
F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | F1 | Paper Title | Repository |
|---|---|---|---|
| MSN | 89.6 | Self-Supervised Learning for Endoscopic Video Analysis | |
| MuST | 85.57 | MuST: Multi-Scale Transformers for Surgical Phase Recognition | |
| SF-TMN(ASFormer) | - | SF-TMN: SlowFast Temporal Modeling Network for Surgical Phase Recognition | - |
| TCN | 80.3 | TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks | |
| MoCo V2 Surg SSL - TCN head | 81.6 | Dissecting Self-Supervised Learning Methods for Surgical Computer Vision | |
| LoViT | 90.24 | LoViT: Long Video Transformer for Surgical Phase Recognition |
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