Unsupervised Image To Image Translation On
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Classification Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Classification Accuracy | Paper Title | Repository |
|---|---|---|---|
| CyCADA pixel+feat | 90.4% | CyCADA: Cycle-Consistent Adversarial Domain Adaptation | |
| DANN | 73.6% | Unsupervised Domain Adaptation by Backpropagation | |
| ADDA | 76.0% | Adversarial Discriminative Domain Adaptation | |
| DTN | 84.4% | Unsupervised Cross-Domain Image Generation |
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