Temporal Action Localization On Epic Kitchens
Métriques
Avg mAP (0.1-0.5)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Avg mAP (0.1-0.5) | Paper Title | Repository | |||||
|---|---|---|---|---|---|---|---|---|
| G-TAD (verb) | 9.4 | 12.1 | 11.0 | 9.4 | 8.1 | 6.5 | G-TAD: Sub-Graph Localization for Temporal Action Detection | - |
| AdaTAD (verb, VideoMAE-L) | 29.3 | 33.1 | 32.2 | 30.4 | 27.5 | 23.1 | End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames | - |
| TriDet (verb) | 25.4 | 28.6 | 27.4 | 26.1 | 24.2 | 20.8 | TriDet: Temporal Action Detection with Relative Boundary Modeling | - |
| ActionFormer (verb) | 23.5 | 26.6 | 25.4 | 24.2 | 22.3 | 19.1 | ActionFormer: Localizing Moments of Actions with Transformers | - |
| BMN (verb) | 8.4 | 10.8 | 9.8 | 8.4 | 7.1 | 5.6 | BMN: Boundary-Matching Network for Temporal Action Proposal Generation | - |
| TemporalMaxer (verb) | 24.5 | 27.8 | 26.6 | 25.3 | 23.1 | 19.9 | TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization | - |
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