Few Shot Action Recognition On Ucf101
Metrics
1:1 Accuracy
Results
Performance results of various models on this benchmark
Model Name | 1:1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| TRX | 96.1 | Temporal-Relational CrossTransformers for Few-Shot Action Recognition | - |
| ARN | 83.1 | Few-shot Action Recognition with Permutation-invariant Attention | - |
| AMeFu-Net | 95.5 | Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition | - |
| HyRSM | 94.7 | Hybrid Relation Guided Set Matching for Few-shot Action Recognition | - |
| Learn2Aug + TRX | 96.5 | Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition | - |
| STRM | 96.8 | Spatio-temporal Relation Modeling for Few-shot Action Recognition | - |
| HF-AR | 86.4 | - | - |
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