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