Zero Shot Learning On Awa2
Metrics
Accuracy Seen
Accuracy Unseen
H
average top-1 classification accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy Seen | Accuracy Unseen | H | average top-1 classification accuracy | Paper Title | Repository |
|---|---|---|---|---|---|---|
| DUET (Ours) | 84.7 | 63.7 | 72.7 | 69.9 | DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning | - |
| ZSL_TF-VAEGAN | - | - | - | 72.2 | Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification | - |
| ZeroDiff | - | - | - | 86.4 | ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning | - |
| ZSL-KG | - | - | - | 78.08 | Zero-Shot Learning with Common Sense Knowledge Graphs | - |
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