Generalization Bound Estimation on ImageNet (val)
0.159Test ErrorSwinTransformer B V2
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SwinTransformer B V2Model=SwinTransformer B V22025.03 | 0.159 | 1.322 | 0.421 | 0.466 | |
| SwinTransformer BModel=SwinTransformer B2025.03 | 0.164 | 1.323 | 0.432 | 0.431 | |
| SwinTransformer T V2Model=SwinTransformer T V22025.03 | 0.179 | 1.349 | 0.448 | 0.454 | |
| SwinTransformer TModel=SwinTransformer T2025.03 | 0.185 | 1.365 | 0.463 | 0.43 | |
| ResNet152 V1Model=ResNet152 V12025.03 | 0.217 | 1.371 | 0.491 | 0.468 | |
| ResNet101 V1Model=ResNet101 V12025.03 | 0.226 | 1.377 | 0.504 | 0.472 | |
| DenseNet161Model=DenseNet1612025.03 | 0.229 | 1.375 | 0.493 | 0.471 | |
| DenseNet201Model=DenseNet2012025.03 | 0.231 | 1.369 | 0.498 | 0.465 | |
| ResNet50 V1Model=ResNet50 V12025.03 | 0.239 | 1.406 | 0.521 | 0.498 | |
| DenseNet169Model=DenseNet1692025.03 | 0.244 | 1.398 | 0.513 | 0.49 | |
| DenseNet121Model=DenseNet1212025.03 | 0.256 | 1.432 | 0.527 | 0.523 | |
| VGG19 BNModel=VGG19 BN2025.03 | 0.258 | 1.439 | 0.545 | 0.526 | |
| ResNet34 V1Model=ResNet34 V12025.03 | 0.267 | 1.437 | 0.553 | 0.523 | |
| VGG19Model=VGG192025.03 | 0.276 | 1.444 | 0.565 | 0.528 | |
| VGG13 BNModel=VGG13 BN2025.03 | 0.284 | 1.478 | 0.58 | 0.559 | |
| VGG13Model=VGG132025.03 | 0.301 | 1.475 | 0.6 | 0.551 | |
| ResNet18 V1Model=ResNet18 V12025.03 | 0.302 | 1.501 | 0.599 | 0.579 |