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ResearchFormerly WizWand

Out-of-Distribution Detection on Dfar

0.9574AUROCASH
0.3959040.5416770.687450.833223May 27, 2024
Updated 8mo ago

Evaluation results

MethodLinks
ASHBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.957419.49
WeiPer+KLDBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.955422.08
NACBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.9529—
ReActBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.936726.31
NACBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.9316—
WeiPer+ReActBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.930929.83
VIMBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.928429.18
VIMBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.926824.67
MDSBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.92629.97
RMDSBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.92628.76
SHEBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.924227.12
GENBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.913532.23
DICEBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.909541.83
SHEBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.909241.45
KNNBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.908131.93
WeiPer+KLDBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.903238.16
GradNormBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.902547.92
KNNBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.901834.13
GENBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.897635.61
MLSBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.895738.22
ODINBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.894743.96
EBOBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.894738.39
WeiPer+ReActBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.894541.22
WeiPer+MSPBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.893341.56
OpenMaxBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.892755.5
OpenMaxBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.892634.31
WeiPer+MSPBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.891543.49
KLMBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.87748.45
KLMBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.87646.6
TempScaleBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.875646.64
RMDSBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.863840.91
TempScaleBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.863253.74
MSPBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.860451.69
ReActBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.856953.93
MSPBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.852351.45
MLSBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.835479.23
DICEBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.823151.77
GramBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.797167.36
EBOBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.789885.35
MDSBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.742562.92
MDSEnsBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.675282.77
RankFeatBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.050.539387.17
ASHBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.515696.77
GradNormBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.050.417592.65