Few Shot Action Recognition On Moma Lrg
Métriques
Activity Classification Accuracy (5-shot 5-way)
Subactivity Classification Accuracy (5-shot 5-way)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Activity Classification Accuracy (5-shot 5-way) | Subactivity Classification Accuracy (5-shot 5-way) | Paper Title | Repository |
|---|---|---|---|---|
| Name Tuning | 97.9 | 78.2 | Few-Shot Classification of Interactive Activities of Daily Living (InteractADL) | |
| CMN | 86.3 | 66.6 | MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing | |
| OTAM | 92.07 | 72.59 | MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing | |
| SG-VLM | 92.5 | 32.70 | MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing |
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