Asymmetric classification on In-house (test)
0.907AUCAsyD & Syn
Evaluation Results
| Method | Links | |
|---|---|---|
| AsyD & SynBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.907 | |
| DisAsymNetBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.898 | |
| AsyC & AsyDBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.894 | |
| AsyCBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.891 | |
| AsyDBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.891 | |
| HAMBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.887 | |
| Late fusionBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.887 | |
| CVTBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.886 | |
| Wang et al.Backbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.885 | |
| ResNet-18Backbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.07 | 0.825 |