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Model Calibration on CIFAR-100

1.1ECEPuzzleMix
0.85042.53524.225.9048Apr 14, 2025Jun 22, 2025Aug 30, 2025Nov 7, 2025Jan 15, 2026Mar 25, 2026Jun 3, 2026

Evaluation results

MethodLinks
PuzzleMixBackbone=ResNet18, Training=from scratch2026.061.1———————8.82301—————
GCEModel=Wide-ResNet2026.041.25——————6.83———————
DFLModel=Wide-ResNet2026.041.26——————3.45———————
AFLModel=Wide-ResNet2026.041.26——————2.29———————
AFLModel=ResNet-1102026.041.29——————1.46———————
Brier LossModel=Wide-ResNet2026.041.32——————3.97———————
FLSDModel=Wide-ResNet2026.041.33——————2.47———————
AFLModel=ResNet-502026.041.39——————1.71———————
GCEModel=DenseNet-1212026.041.48——————10.75———————
DFLModel=ResNet-1102026.041.49——————4.28———————
GCEModel=ResNet-502026.041.5——————11.23———————
AFLModel=DenseNet-1212026.041.51——————1.71———————
Brier LossModel=ResNet-502026.041.52——————4.73———————
MMCEModel=ResNet-502026.041.53——————15.52———————
DFLModel=ResNet-502026.041.53——————2.06———————
GCEModel=ResNet-1102026.041.54——————12.69———————
FLSDModel=DenseNet-1212026.041.55——————3.31———————
CEModel=Wide-ResNet2026.041.56——————15.12———————
DFLModel=DenseNet-1212026.041.56——————4.79———————
Brier LossModel=DenseNet-1212026.041.58——————4.21———————
FLSDModel=ResNet-1102026.041.6——————6.94———————
Brier LossModel=ResNet-1102026.041.65——————6.04———————
FLSDModel=ResNet-502026.041.69——————5.4———————
MMCEModel=Wide-ResNet2026.041.73——————14———————
OA-CutMix/abs + decoupledBackbone=ResNet18, Training=from scratch2026.061.74———————4.851.01—————
CEModel=ResNet-502026.041.75——————17.49———————
OA-CutMix/absBackbone=ResNet18, Training=from scratch2026.061.79———————4.271.05—————
ResizeMixBackbone=ResNet18, Training=from scratch2026.061.93———————5.040.62—————
MMCEModel=DenseNet-1212026.041.94——————17.08———————
CEModel=ResNet-1102026.042.06——————18.78———————
CEModel=DenseNet-1212026.042.09——————19.27———————
MMCEModel=ResNet-1102026.042.11——————18.62———————
CutMix + decoupledBackbone=DeiT-S, latency [ms]=0.672026.062.43———————4.71——————
OA-CutMix/relBackbone=ResNet18, Training=from scratch2026.062.56———————4.761.02—————
OA-CutMix/rel + decoupledBackbone=ResNet18, Training=from scratch2026.062.77———————4.661—————
CutMix + decoupledBackbone=ResNet18, Training=from scratch2026.062.88———————7.420.6—————
OA-CutMix/abs + decoupledBackbone=DeiT-Ti, latency [ms]=1.012026.063.01———————3.66——————
CutMix + decoupledBackbone=DeiT-Ti, latency [ms]=0.672026.063.04———————4.71——————
SnapMixBackbone=ResNet18, Training=from scratch2026.063.1———————6.1751.49—————
OA-CutMix/absBackbone=DeiT-Ti, latency [ms]=1.012026.063.18———————3.27——————
OA-CutMix/absBackbone=ResNet50, Training=from scratch2026.063.37———————4.271.05—————
OA-CutMix/relBackbone=DeiT-S, latency [ms]=1.032026.063.39———————3.96——————
AlignmixupBackbone=ResNet50, Training=from scratch2026.063.61———————6.131.98—————
OA-CutMix/relBackbone=ResNet50, Training=from scratch2026.063.69———————4.761.02—————
OA-CutMix/relBackbone=DeiT-Ti, latency [ms]=1.032026.063.77———————3.96——————
OA-CutMix/absBackbone=DeiT-S, latency [ms]=1.012026.063.78———————3.27——————
OA-CutMix/rel + decoupledBackbone=DeiT-S, latency [ms]=1.112026.063.83———————4.6——————
FMixBackbone=DeiT-Ti, latency [ms]=6.802026.063.98———————6.91——————
AlignmixupBackbone=ResNet18, Training=from scratch2026.064———————6.131.98—————
IsotonicBackbone=ViT-B16, Alpha (α)=0.01, Nonconformity score=MSP, Transformation=constant2025.054———0.21—————01.067161.42.4
Platt ScalingBackbone=ViT-B16, Alpha (α)=0.01, Nonconformity score=MSP, Transformation=constant2025.054———0.49—————00.404160.70.8
Temp. scalingBackbone=ViT-B16, Alpha (α)=0.01, Nonconformity score=MSP, Transformation=constant2025.054———0.3—————00.446162.71
PuzzleMixBackbone=ResNet50, Training=from scratch2026.064.05———————8.82301—————
FMixBackbone=ResNet50, Training=from scratch2026.064.12———————7.656.68—————
FMixBackbone=ResNet18, Training=from scratch2026.064.15———————7.656.68—————
BalCALBackbone=WRN-28-102025.044.21————73.214.13————————
OA-CutMix/abs + decoupledBackbone=DeiT-S, latency [ms]=1.012026.064.35———————3.66——————
PuzzleMixBackbone=DeiT-S, latency [ms]=273.282026.064.38———————6.1——————
MixupBackbone=WRN-28-102025.044.51————77.054.58————————
OA-CutMix/rel + decoupledBackbone=ResNet50, Training=from scratch2026.064.53———————4.661—————
ResizeMixBackbone=DeiT-S, latency [ms]=1.052026.064.64———————7.44——————
MergeMixBackbone=ViT-Large, Epochs=200, token merging=false2025.104.65——————————————
MergeMixBackbone=ViT-Large, Epochs=200, token merging=true2025.104.7——————————————
MixUpBackbone=ViT-Large, Epochs=200, token merging=false2025.104.76——————————————
OA-CutMix/rel + decoupledBackbone=DeiT-Ti, latency [ms]=1.112026.064.76———————4.6——————
FMixBackbone=DeiT-S, latency [ms]=6.802026.064.89———————6.91——————
BaseBackbone=ViT-B16, Alpha (α)=0.01, Nonconformity score=MSP, Transformation=constant2025.055———0.34—————00.437170.30.1
ResizeMixBackbone=ResNet50, Training=from scratch2026.065.17———————5.040.62—————
TokenMixBackbone=DeiT-S, latency [ms]=39.912026.065.18———————7.52——————
MergeMixBackbone=DeiT-Tiny, Epochs=600, token merging=false2025.105.45——————————————
MergeMixBackbone=DeiT-Tiny, Epochs=600, token merging=true2025.105.46——————————————
MergeMixBackbone=ViT-Small, Epochs=600, token merging=false2025.105.5——————————————
VanillaBackbone=ResNet18, Training=from scratch2026.065.6———————9.33——————
Attentive CutMixBackbone=DeiT-S, latency [ms]=56.102026.065.61———————7.64——————
OA-CutMix/abs + decoupledBackbone=ResNet50, Training=from scratch2026.065.63———————4.851.01—————
SnapMixBackbone=ResNet50, Training=from scratch2026.065.73———————6.1751.49—————
TokenMixBackbone=DeiT-Ti, latency [ms]=39.912026.065.74———————7.52——————
Attentive CutMixBackbone=DeiT-Ti, latency [ms]=56.102026.065.96———————7.64——————
Naive CMCEBackbone=ViT-B16, Alpha (α)=0.01, Nonconformity score=MSP, Transformation=constant2025.056———0.32—————00.456170.10.9
TSBackbone=ViT-B16, Alpha (α)=0.01, Nonconformity score=MSP, Transformation=constant2025.056———0.43—————00.455170.40
CutMixBackbone=DeiT-Tiny, Epochs=600, token merging=false2025.106.01——————————————
LSBackbone=WRN-28-102025.046.03————73.586.03————————
MixupBackbone=ResNet50, Training=from scratch2026.066.03———————12.180.73—————
MergeMixBackbone=ViT-Small, Epochs=600, token merging=true2025.106.04——————————————
CutMixBackbone=ResNet18, Training=from scratch2026.066.14———————9.080.61—————
MixProBackbone=ViT-Large, Epochs=200, token merging=false2025.106.22——————————————
MixupBackbone=DeiT-S, latency [ms]=0.732026.066.36———————6.03——————
MixProBackbone=DeiT-Tiny, Epochs=600, token merging=false2025.106.38——————————————
MixUpBackbone=DeiT-Tiny, Epochs=600, token merging=false2025.106.44——————————————
CutMixBackbone=ViT-Small, Epochs=600, token merging=false2025.106.45——————————————
Mixup+CutMixBackbone=ResNet50, Training=from scratch2026.066.46———————12.250.67—————
MixupBackbone=DeiT-Ti, latency [ms]=0.732026.066.49———————6.03——————
DeiTBackbone=ViT-Large, Epochs=200, token merging=false2025.106.71——————————————
MergeMixBackbone=DeiT-Tiny, Epochs=200, token merging=true2025.106.73——————————————
Ada-TSBackbone=ViT-B16, Alpha (α)=0.01, Nonconformity score=MSP, Transformation=constant2025.057———0.36—————00.889180.83.5
TSTBackbone=WRN-28-102025.047.07————71.26—————————
MergeMixBackbone=DeiT-Tiny, Epochs=200, token merging=false2025.107.08——————————————
CutMix + decoupledBackbone=ResNet50, Training=from scratch2026.067.28———————7.420.6—————
Mixup + CutMixBackbone=DeiT-S, latency [ms]=0.702026.067.33———————7.41——————
VTSTBackbone=WRN-28-102025.047.34————69.18—————————