Image Classification on AWA2 v1 (test)
73.6Score UPSVMA
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| PSVMABackbone=ViT-Base, Learning Approach=Embedding2025.03 | 73.6 | — | 77.3 | 75.4 | |
| VSPCNBackbone=ViT-Base, Learning Approach=Embedding2025.03 | 71.8 | 76.6 | 84.3 | 77.6 | |
| ZSCLRBackbone=ResNet-101, Learning Approach=Embedding2025.03 | 70.4 | 76 | 76.7 | 73.4 | |
| ZSLViTBackbone=ViT-Base, Learning Approach=Embedding2025.03 | 66.1 | 70.7 | 84.6 | 74.2 | |
| ICCEBackbone=ResNet-101, Learning Approach=Generative2025.03 | 65.3 | 72.7 | 82.3 | 72.8 | |
| GEM-ZSLBackbone=ResNet-101, Learning Approach=Embedding2025.03 | 64.8 | 67.2 | 77.5 | 70.6 | |
| DUETBackbone=ViT-Base, Learning Approach=Embedding2025.03 | 63.7 | 69.9 | 84.7 | 72.7 | |
| CE-GZSLBackbone=ResNet-101, Learning Approach=Generative2025.03 | 63.1 | 70.4 | 78.6 | 70 | |
| DPPNBackbone=ResNet-101, Learning Approach=Embedding2025.03 | 63.1 | — | 86.8 | 73.1 | |
| MSDNBackbone=ResNet-101, Learning Approach=Embedding2025.03 | 62 | 70.1 | 74.5 | 67.7 | |
| TransZeroBackbone=ResNet-101, Learning Approach=Embedding2025.03 | 61.3 | 70.1 | 82.3 | 70.2 | |
| FREEBackbone=ResNet-101, Learning Approach=Generative2025.03 | 60.4 | — | 75.4 | 67.1 | |
| DAZLEBackbone=ResNet-101, Learning Approach=Embedding2025.03 | 60.3 | 67.9 | 75.7 | 67.1 | |
| HSVABackbone=ResNet-101, Learning Approach=Generative2025.03 | 56.7 | — | 79.8 | 66.3 | |
| APNBackbone=ResNet-101, Learning Approach=Embedding2025.03 | 56.5 | 68.4 | 78 | 65.5 | |
| LsrGANBackbone=ResNet-101, Learning Approach=Generative2025.03 | 54.6 | 66.4 | 74.6 | 63 | |
| IEAM-ZSLBackbone=ViT-Large, Learning Approach=Embedding2025.03 | 53.7 | — | 89.9 | 67.2 | |
| ViT-ZSLBackbone=ViT-Large, Learning Approach=Embedding2025.03 | 51.9 | — | 90 | 68.5 | |
| ICISBackbone=ResNet-101, Learning Approach=Embedding2025.03 | 35.6 | 64.6 | 93.3 | 51.6 |