Unsupervised Domain Adaptation On Hmdb Ucf
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| ADDA | 88.44 | Adversarial Discriminative Domain Adaptation | |
| SAVA | 91.24 | Shuffle and Attend: Video Domain Adaptation | - |
| DANN | 88.09 | Domain-Adversarial Training of Neural Networks | |
| TA3N | 90.54 | Temporal Attentive Alignment for Large-Scale Video Domain Adaptation | |
| TranSVAE | 98.95 | - | - |
| CoMix | 93.87 | Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing | - |
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