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Open-set Test-time Adaptation on CIFAR-10-C (test)

85.77AccuracyCOTTA
10.297229.891149.48569.0789Apr 9, 2024Aug 7, 2024Dec 6, 2024Apr 5, 2025Aug 4, 2025Dec 2, 2025Apr 2, 2026

Evaluation results

MethodLinks
COTTABackbone=WideResNet-40-2, Pre-training=AugMix2024.0485.7785.8972.477.26
CoTTA2026.0485.7785.8972.477.26
OSTTA + ROSETTAFramework=ROSETTA2026.0485.5696.1218.9683.46
EATA + ROSETTAFramework=ROSETTA2026.0485.4297.5311.9484.25
EATA + UniEnt+Backbone=WideResNet-40-2, Pre-training=AugMix2024.0485.1896.9714.2883.67
EATA + UniEnt+Framework=UniEnt+2026.0485.1896.9714.2883.67
OSTTABackbone=WideResNet-40-2, Pre-training=AugMix2024.0484.4472.7471.6677.02
OSTTA2026.0484.4472.7477.0265.17
TENT + ROSETTAFramework=ROSETTA2026.0484.3493.7529.9181.37
TENT + UniEntBackbone=WideResNet-40-2, Pre-training=AugMix2024.0484.3192.2836.7480.32
EATA + UniEntBackbone=WideResNet-40-2, Pre-training=AugMix2024.0484.3197.1513.2582.99
TENT + UniEntFramework=UniEnt2026.0484.3192.2836.7480.32
EATA + UniEntFramework=UniEnt2026.0484.3197.1513.2582.99
OSTTA + UniEnt+Backbone=WideResNet-40-2, Pre-training=AugMix2024.0484.397.3811.5659.71
OSTTA + UniEnt+Framework=UniEnt+2026.0484.397.3811.5682.91
BN AdaptRounds of adaptation=102024.0484.280.476.8472.13
BN AdaptBackbone=WideResNet-40-2, Pre-training=AugMix2024.0484.280.476.8472.13
BN Adapt2026.0484.280.476.8472.13
TENT + UniEnt+Rounds of adaptation=10, Baseline=TENT2024.0484.1788.213077
TENT + UniEntRounds of adaptation=10, Baseline=TENT2024.0484.0788.5330.5976.42
TENT + UniEnt+Backbone=WideResNet-40-2, Pre-training=AugMix2024.0484.0393.1832.7480.62
TENT + UniEnt+Framework=UniEnt+2026.0484.0393.1832.7480.62
OSTTARounds of adaptation=102024.0483.8371.9376.1263.9
OSTTA + UniEntBackbone=WideResNet-40-2, Pre-training=AugMix2024.0482.4696.216.3759.75
OSTTA + UniEntFramework=UniEnt2026.0482.4696.216.3780.51
OSTTA + UniEnt+Rounds of adaptation=10, Baseline=OSTTA2024.0482.4290.1552.5771.05
SourceRounds of adaptation=102024.0481.7377.8979.4568.44
SourceBackbone=WideResNet-40-2, Pre-training=AugMix2024.0481.7377.8979.4568.44
Source2026.0481.7377.8979.4568.44
EATA + UniEntRounds of adaptation=10, Baseline=EATA2024.0481.2291.0535.6674.52
EATABackbone=WideResNet-40-2, Pre-training=AugMix2024.0480.9284.3271.6672.63
EATA2026.0480.9284.3271.6672.63
OSTTA + UniEntRounds of adaptation=10, Baseline=OSTTA2024.0480.7488.9451.4871
EATA + UniEnt+Rounds of adaptation=10, Baseline=EATA2024.0480.4192.4931.1876.46
TENTBackbone=WideResNet-40-2, Pre-training=AugMix2024.0479.3865.3995.9456.73
TENT2026.0479.3865.3995.9456.73
ProtoDCSBackbone=ViT-B/162026.0267.9895.5924.0366.71
CLIP (ViT)Backbone=ViT-B/162026.0266.3981.6363.8213.89
UniEnt+TPTBackbone=ViT-B/162026.026582.1870.7656.59
TPTBackbone=ViT-B/162026.0264.579.0672.5555.62
DPEBackbone=ViT-B/162026.026486.3857.4258.8
UniEnt+EATABackbone=ViT-B/162026.0262.4590.3238.6259.34
CLIPArTTBackbone=ViT-B/162026.0262.2980.5367.4854.04
TENTBackbone=ViT-B/162026.0261.9680.6667.0753.7
STAMPBackbone=ViT-B/162026.0260.1979.1370.2851.85
EATABackbone=ViT-B/162026.0259.7679.9267.7652.41
SARBackbone=ViT-B/162026.0258.9776.5973.9149.81
TDABackbone=ViT-B/162026.0253.0585.9958.1758.48
ProtoDCSBackbone=ResNet-502026.0243.4577.6382.3437.12
CLIP(RN)Backbone=ResNet-502026.0241.1758.9189.4418.34
EATARounds of adaptation=102024.0440.9464.5288.4129.07
DPEBackbone=ResNet-502026.0239.8371.7183.0431.44
COTTARounds of adaptation=102024.0435.947.2797.5219.95
TENTRounds of adaptation=102024.0432.6160.8693.2420.86
TDABackbone=ResNet-502026.0225.1770.8483.9130.77
TENTBackbone=ResNet-502026.0221.461.9488.4414.44
CLIPArTTBackbone=ResNet-502026.0221.3862.3587.7914.44
TPTBackbone=ResNet-502026.0219.844.2396.3812.13
SARBackbone=ResNet-502026.0219.4667.5482.7114.73
EATABackbone=ResNet-502026.0218.6457.691.1712.11
UniEnt+EATABackbone=ResNet-502026.0218.6157.9491.1412.06
UniEnt+TPTBackbone=ResNet-502026.0213.243.8699.937.94