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Medical Image Classification on DermaMNIST (m=5 synthetic annotators, K=7, test)

2.06ECEIR-Soft
0.640410.222719.80529.3873Mar 24, 2026

Evaluation results

MethodLinks
IR-SoftBackbone=ViT-S/162026.032.06—1.874.570.6261.423
IR-SoftBackbone=ResNet-182026.032.2—1.944.960.641.468
Dirichlet-SoftBackbone=ViT-S/162026.033.18—31.160.5981.279
MCTS S=1Backbone=ViT-S/162026.033.285.042.713.160.6091.346
SLTSBackbone=ViT-S/162026.033.295.032.743.150.6091.346
SoftPlattBackbone=ViT-S/162026.033.41—3.051.360.5991.287
Oracle TSBackbone=ViT-S/162026.033.514.942.973.130.6091.346
VSBackbone=ViT-S/162026.033.81—3.352.730.6091.329
Dirichlet-SoftBackbone=ResNet-182026.033.94—3.931.260.6121.305
SoftPlattBackbone=ResNet-182026.034.05—3.81.510.6141.313
VSBackbone=ResNet-182026.034.58—4.483.380.6231.365
Oracle TSBackbone=ResNet-182026.034.873.384.493.970.6281.388
LS-TSBackbone=ResNet-182026.035.053.034.823.790.631.394
MCTS S=1Backbone=ResNet-182026.035.073.424.744.020.6291.388
SLTSBackbone=ResNet-182026.035.133.434.764.020.6291.388
LS-TSBackbone=ViT-S/162026.037.364.197.063.680.6151.362
TSBackbone=ResNet-182026.0322.251.8422.26.910.6871.637
ATSBackbone=ResNet-182026.0322.821.8622.756.970.6871.606
Dirichlet-HardBackbone=ResNet-182026.0323.02—22.797.060.6831.704
PlattBackbone=ResNet-182026.0323.1—23.036.930.6821.623
PlattBackbone=ViT-S/162026.0324.18—24.027.130.6751.67
Dirichlet-HardBackbone=ViT-S/162026.0324.55—24.467.330.681.877
TSBackbone=ViT-S/162026.0324.652.5524.577.30.6831.664
ATSBackbone=ViT-S/162026.0325.352.5325.247.530.6861.65
UncalibratedBackbone=ResNet-182026.0334.56—34.5110.110.7712.617
UncalibratedBackbone=ViT-S/162026.0337.55—37.4810.880.7913.7