Generalized Zero-Shot Learning on AWA2 (seen unseen)
51.2U ScoreVGSE-SMO
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| VGSE-SMOZSL Model=APN, Semantic Embeddings=VGSE-SMO (Ours), Model Category=Non-Generative2022.03 | 51.2 | 81.8 | 63 | |
| VGSE-SMOZSL Model=GEM-ZSL, Semantic Embeddings=VGSE-SMO (Ours), Model Category=Non-Generative2022.03 | 49.1 | 78.2 | 60.3 | |
| VGSE-SMOZSL Model=CADA-VAE, Semantic Embeddings=VGSE-SMO (Ours), Model Category=Generative2022.03 | 46.9 | 61.6 | 53.9 | |
| VGSE-SMOZSL Model=SJE, Semantic Embeddings=VGSE-SMO (Ours), Model Category=Non-Generative2022.03 | 46.8 | 72.3 | 56.8 | |
| f-VAEGAN-D2ZSL Model=f-VAEGAN-D2, Semantic Embeddings=w2v, Model Category=Generative2022.03 | 46.7 | 59 | 52.2 | |
| VGSE-SMOZSL Model=f-VAEGAN-D2, Semantic Embeddings=VGSE-SMO (Ours), Model Category=Generative2022.03 | 45.7 | 66.7 | 54.2 | |
| APNZSL Model=APN, Semantic Embeddings=w2v, Model Category=Non-Generative2022.03 | 41.8 | 75 | 53.7 | |
| GEM-ZSLZSL Model=GEM-ZSL, Semantic Embeddings=w2v, Model Category=Non-Generative2022.03 | 40.1 | 80 | 53.4 | |
| SJEZSL Model=SJE, Semantic Embeddings=w2v, Model Category=Non-Generative2022.03 | 39.7 | 65.3 | 48.8 | |
| CADA-VAEZSL Model=CADA-VAE, Semantic Embeddings=w2v, Model Category=Generative2022.03 | 38.6 | 60.1 | 47 |