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Image Classification on CIFAR10-C (test) (Per Corruption Type Accuracy)

89.94Accuracy (Gaussian)ScoreOpt
11.586431.928252.2772.6118Apr 7, 2022Dec 21, 2022Sep 5, 2023May 20, 2024Feb 2, 2025Oct 18, 2025Jul 3, 2026

Evaluation results

MethodLinks
ScoreOptBackbone=WRN-70-162023.0789.9487.9682.68————83.585.7380.291.21—83.6486.3689.26———————————————
STAMP + Hi-VecBackbone=ResNet-182025.0883.684.777.377.390.7—90.788.589.689.192.990.383.488.383.686.6—————————————88.8
Wang et al.Backbone=WRN-70-16, Training Threat Model=ℓ22023.0781.9183.1763.74————89.2688.1748.5592.88—89.969293.61———————————————
STAMPBackbone=ResNet-182025.0880.982.977.274.987.6—87.785.985.988.190.487.280.386.782.684.3—————————————86.6
Wang et al.Backbone=WRN-70-16, Training Threat Model=ℓ∞2023.0779.8581.2262.02————84.7583.9437.8788.04—86.1488.8989.93———————————————
SAR + Hi-VecBackbone=ResNet-182025.0878.580.269.173.891.4—90.78888.38993.291.680.586.479.284.6—————————————88.7
SoTTA2023.1078.280.872.373.690.189.290.387.486.289.392.987.881.386.68184.5——————————————
Tent + Hi-VecBackbone=ResNet-182025.0877.779.670.672.388.3—87.985.782.885.791.986.580.282.978.982.5—————————————87.6
CoTTA2023.1076.978.672.370.988.286.888.183.483.486.191.284.979.28379.982.2——————————————
EATABackbone=ResNet-182025.0876.577.971.770.489.1—8985.284.28691.588.479.983.978.582.6—————————————87.4
CoTTABackbone=ResNet-182025.0876.177.673.971.987.9—87.582.88285.290.885.779.380.478.381.8—————————————86.9
TentBackbone=ResNet-182025.0876.178.470.570.187.8—87.584.88285.191.186.679.482.778.581.8—————————————86.8
EATA2023.107678.268.270.188.487.488.484.5858891.589.977.884.878.482.4——————————————
SoTTABackbone=ResNet-182025.0875.879.271.570.689.4—8985.68487.292.487.479.984.57982.9—————————————87.8
SoTTA2023.107577.568.870.788.887.58985.48488.291.983.979.883.978.382.2——————————————
TENT2023.1074.577.666.666.288.286.988.883.781.38691.186.977.982.776.781——————————————
SoTTA2023.1074.376.766.566.987.586.487.884.483.887.291.388.478.782.47881.4——————————————
CoTTA2023.1072.774.36667.682.681.884.184.185.582.591.169.978.176.179.378.4——————————————
No AdaptBackbone=WideResNet-282026.0772.365.772.954.346.934.84225.141.326—46.726.658.530.343.59.3—————————————
PL2023.1071.172.962.264.486.985.386.680.878.884.989.68476.28073.178.5——————————————
SARBackbone=ResNet-182025.0870.772.166.868.287.6—86.982.180.584.190.885.477.378.674.379.4—————————————85.9
BN StatsBackbone=ResNet-182025.0870.27263.666.587.6—86.982.180.584.190.885.477.378.674.379—————————————85.9
OWTTTBackbone=ResNet-182025.0870.1726366.586.9—86.782.780.984.591.28377.976.874.978.9—————————————85.7
RoTTA2023.1069.771.862.967.888.687.488.783.280.187.191.863.578.480.674.178.4——————————————
RoTTABackbone=ResNet-182025.0869.67162.96787.5—86.982.479.684.791.273.578.377.974.978.2—————————————85.9
SAR2023.1068.369.758.962.987.886.387.481.680.385.490.786.976.779.37278.3——————————————
BN Stats2023.10676960.465.687.886.387.481.680.385.490.786.976.779.371.978.4——————————————
EATA2023.1066.668.757.957.275.274.775.575.173.573.883.57664.373.567.870.9——————————————
RoTTA2023.1066.368.359.463.28685.48783.582.886.492.484.877.171.671.677.7——————————————
RoTTA2023.1065.267.458.364.487.285.887.381.276.985.390.757.276.577.771.675.5——————————————
BN Stats2023.1064.966.358.262.784.184.28583.182.585.592.485.376.567.470.376.6——————————————
TENT2023.1064.764.750.259.681.380.883.879.678.38088.683.773.574.371.174.3——————————————
PL2023.1063.263.551.758.481.678.483.379.279.780.389.279.573.170.969.373.4——————————————
TENT2023.1062.965.256.754.574.873.475.273.871.872.18373.763.1706468.9——————————————
T3ABackbone=WideResNet-282026.0761.756.567.447.54131.736.224.237.124.2—42.425.34929.538.99.4—————————————
SourceProtocol=CTTA2025.1260.153.238.335.519.922.618.612.112.722.85.349.723.624.723.1————————————28.20—
PETALProtocol=CTTA2025.1259.952.336.134.720.119.414.811.511.217.84.429.617.619.217.3————————————24.43.8—
Pseudo-labelProtocol=CTTA2025.1259.852.537.235.219.821.817.611.612.320.7541.721.525.222.1————————————26.91.3—
PL2023.1059.161.453.151.973.171.772.371.369.169.881.572.160.967.460.166.3——————————————
SAR2023.105960.952.855.478.283.781.878.878.685.592.485.366.66463.872.4——————————————
CoTTAProtocol=CTTA2025.1258.751.33334.820.12015.211.111.318.5434.718.81917.9————————————24.63.6—
TentProtocol=CTTA2025.1257.756.329.435.316.216.212.41111.614.94.722.515.929.119.5————————————23.54.7—
VDPProtocol=CTTA2025.1257.549.531.735.121.319.615.110.810.318.1427.518.422.519.9————————————24.14.1—
SARProtocol=CTTA2025.1254.147.63834.819.922.618.612.112.722.85.339.923.624.723.1————————————26.61.6—
CoTTA2023.1053.15749.755.967.969.771.374.369.568.184.94768.662.371.669.5——————————————
ViDAProtocol=CTTA2025.1252.947.919.431.311.413.37.67.69.912.53.826.314.433.918.2————————————20.77.5—
EATA2023.1051.550.340.145.870.472.877.266.867.474.483.968.260.267.362.163.9——————————————
SAR2023.1046.148.140.342.263.363.562.562.359.362.175.465.150.653.947.656.2——————————————
BN Stats2023.1044.546.839.842.163.363.562.562.359.362.175.465.150.653.946.955.9——————————————
FBPCtraining_algorithm=SGHMC, trained_from_scratch=true, pseudocoreset_type=Function space Bayesian2023.1044———46.444.3—47.1—41.748.9—47.6515247.521.525.723.73329.316.428.818.124.452.316.123.7——
TV-SmoothArch.=TV-Smooth2022.0442.75544.879.449.274.574.379.475.38592.169.481.87378.470.3——————————————
TV-SharpArch.=TV-Sharp2022.0440.653.146.579.850.375.773.980.375.286.292.274.481.872.676.570.6——————————————
AllConvArch.=AllConv2022.0436.248.946.677.946.772.871.977.871.982.591.667.182.272.27968.4——————————————
BPC-fKLtraining_algorithm=SGHMC, trained_from_scratch=true, pseudocoreset_type=Bayesian2023.1033.7———3432.7—28.9—25.133.5—35.938.339.134.340.339.43655.239.930.341.631.648.441.226.538.9——
Continual-MAEProtocol=CTTA2025.1230.618.911.522.510.413.99.86.66.58.848.512.79.214.4————————————12.615.6—
SourceBackbone=ResNet-182025.0828.735.224.24957.3—64.876.762.973.490.331.478.846.574.757.3—————————————66.4
BN statsBackbone=WideResNet-282026.0728.32636.234.912.613.91217.517.614.9—1323.519.527.220.38.2—————————————
Source2023.102633.224.75256.767.464.8786774.191.533.976.646.473.257.7——————————————
Source2023.102633.224.75256.767.464.8786774.191.533.976.646.473.257.7——————————————
Source2023.102633.224.75256.767.464.8786774.191.533.976.646.473.257.7——————————————
Base WRN-70-16Backbone=WRN-70-162023.0725.7132.1927.89————77.8266.4971.3791.33—73.1744.9367.32———————————————
CoLA (DeYO)Backbone=WideResNet-28, Source weights=DeYO [40]2026.0725.322.933.232.411.81311.515.915.613.7—11.121.817.424.418.57.8—————————————
Ours (DeYO)Backbone=WideResNet-28, Source weights=DeYO [40]2026.0724.822.232.83211.81311.515.615.313.7—10.921.717.123.918.37.8—————————————
LAME2023.1024.331.619.953.253.965.962.57969.573.190.128.47544.874.256.4——————————————
CoLA (ROID)Backbone=WideResNet-28, Source weights=ROID [44]2026.0722.920.529.829.411.112.310.514.914.813.2—11.319.815.421.7177.6—————————————
LAME2023.1021.829.219.752.153.365.962.579.269.373.190.12875.743.874.155.9——————————————
LAME2023.10212817.352.952.765.96279.370.473.990.328.475.644.274.255.9——————————————
Ours (ROID)Backbone=WideResNet-28, Source weights=ROID [44]2026.0720.718.727.427.911.212.710.614.814.612.8—11.319.314.419.716.37.9—————————————
REMProtocol=CTTA2025.1217.312.510.317.78.48.45.56.65.67.23.76.4117.313————————————9.418.8—
M2AProtocol=CTTA, Masking Domain=Frequency2025.121711.31323.610.811.687.56.275.25.418.678.149.1————————————18.210—
M2AProtocol=CTTA, Masking Domain=Spatial2025.1216.911.28.315.67.27.75.25.84.76.13.64.910.26.910.6————————————8.319.9—
SupervisedProtocol=Oracle/Supervised Baseline2025.1214.696.911.26.163.74.43.44.92.13.77.54.38.5————————————6.421.8—