Partial Domain Adaptation On Imagenet Caltech
Metrics
Accuracy (%)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy (%) |
|---|---|
| learning-to-transfer-examples-for-partial | 79.1 |
| select-label-and-mix-learning-discriminative | 81.86 |
| adversarial-reweighting-for-partial-domain | 84.69 |
| a-balanced-and-uncertainty-aware-approach-for | 83.7 |