Image Classification on ImageNet SPSA (test)
70.18Top-1 AccuracySwin-ACMoE-Base
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Swin-ACMoE-BaseBackbone=Swin-Base2025.02 | 70.18 | 89.33 | |
| Swin-BaseBackbone=Swin-Base2025.02 | 68.94 | 89 |
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| Method | Links | ||
|---|---|---|---|
| Swin-ACMoE-BaseBackbone=Swin-Base2025.02 | 70.18 | 89.33 | |
| Swin-BaseBackbone=Swin-Base2025.02 | 68.94 | 89 |