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ResearchFormerly WizWand

Asymmetric classification on In-house (test)

0.907AUCAsyD & Syn
0.821720.843860.8660.88814Jul 6, 2023
Updated 8mo ago

Evaluation results

MethodLinks
AsyD & SynBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.907
DisAsymNetBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.898
AsyC & AsyDBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.894
AsyCBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.891
AsyDBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.891
HAMBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.887
Late fusionBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.887
CVTBackbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.886
Wang et al.Backbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.885
ResNet-18Backbone=ResNet-18, Pre-training=ImageNet, Image Size=1024x5122023.070.825