Image Classification on ImageNet (val) (Error@1 and Bounds)
15.9Top-1 ErrorSwin_V2_b
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Swin_V2_bModel=Swin_V2_b2026.06 | 15.9 | 1.345 | 1.342 | 0.551 | 0.461 | 0.461 | |
| Swin_bModel=Swin_b2026.06 | 16.4 | 1.347 | 1.345 | 0.563 | 0.466 | 0.466 | |
| ResNet152 V2Model=ResNet152 V22026.06 | 17.7 | 1.337 | 1.333 | 0.552 | 0.485 | 0.485 | |
| Swin_V2_tModel=Swin_V2_t2026.06 | 17.9 | 1.373 | 1.372 | 0.613 | 0.534 | 0.534 | |
| ResNet101 V2Model=ResNet101 V22026.06 | 18.1 | 1.346 | 1.344 | 0.571 | 0.502 | 0.502 | |
| Swin_tModel=Swin_t2026.06 | 18.5 | 1.389 | 1.387 | 0.647 | 0.536 | 0.536 | |
| ResNet50 V2Model=ResNet50 V22026.06 | 19.1 | 1.379 | 1.377 | 0.633 | 0.544 | 0.544 | |
| ResNet152 V1Model=ResNet152 V12026.06 | 21.7 | 1.395 | 1.394 | 0.673 | 0.604 | 0.604 | |
| ResNet101 V1Model=ResNet101 V12026.06 | 22.6 | 1.401 | 1.4 | 0.688 | 0.628 | 0.628 | |
| DenseNet161Model=DenseNet1612026.06 | 22.9 | 1.4 | 1.398 | 0.681 | 0.612 | 0.612 | |
| DenseNet201Model=DenseNet2012026.06 | 23.1 | 1.393 | 1.392 | 0.673 | 0.562 | 0.562 | |
| ResNet50 V1Model=ResNet50 V12026.06 | 23.9 | 1.431 | 1.43 | 0.743 | 0.712 | 0.712 | |
| DenseNet169Model=DenseNet1692026.06 | 24.4 | 1.422 | 1.421 | 0.725 | 0.665 | 0.665 | |
| DenseNet121Model=DenseNet1212026.06 | 25.6 | 1.457 | 1.457 | 0.785 | 0.739 | 0.739 | |
| VGG19 BNModel=VGG19 BN2026.06 | 25.8 | 1.464 | 1.463 | 0.803 | 0.789 | 0.789 | |
| ResNet34 V1Model=ResNet34 V12026.06 | 26.7 | 1.462 | 1.462 | 0.805 | 0.767 | 0.76 | |
| VGG19Model=VGG192026.06 | 27.6 | 1.47 | 1.469 | 0.821 | 0.828 | 0.825 | |
| VGG13 BNModel=VGG13 BN2026.06 | 28.4 | 1.504 | 1.503 | 0.876 | 0.916 | 0.914 | |
| VGG13Model=VGG132026.06 | 30.1 | 1.5 | 1.499 | 0.879 | 0.915 | 0.914 | |
| ResNet18 V1Model=ResNet18 V12026.06 | 30.2 | 1.527 | 1.527 | 0.917 | 0.906 | 0.869 |