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Image Classification on PACS

98.47AccuracyAny-shift Prompting + TPT
71.669278.627185.58592.5429Oct 18, 2021Jul 19, 2022Apr 19, 2023Jan 19, 2024Oct 19, 2024Jul 20, 2025Apr 21, 2026

Evaluation results

MethodLinks
Any-shift Prompting + TPTTest-time optimization=true, Backbone=ViT-B/162024.0298.47
Any-shift PromptingTest-time optimization=false, Backbone=ViT-B/162024.0298.16
CoCoOp + TPTTest-time optimization=true, Backbone=ViT-B/162024.0297.95
CoOp + TPTTest-time optimization=true, Backbone=ViT-B/162024.0297.85
TPTTest-time optimization=true, Backbone=ViT-B/162024.0297.25
DPLTest-time optimization=false, Backbone=ViT-B/162024.0297.07
CoCoOpTest-time optimization=false, Backbone=ViT-B/162024.0297
CLIP-DTest-time optimization=false, Backbone=ViT-B/162024.0296.65
SGD-DualOpt_Fine-tuneBackbone=ConvNeXt-B2026.0496.63
CoOpTest-time optimization=false, Backbone=ViT-B/162024.0296.45
CLIPTest-time optimization=false, Backbone=ViT-B/162024.0296.13
L2-SPBackbone=ConvNeXt-B2026.0495.9
FullBackbone=ConvNeXt-B2026.0495.51
Adam-DualOpt_Fine-tuneBackbone=ViT-B2026.0494.38
VPTBackbone=ConvNeXt-B2026.0493.75
LoRABackbone=ConvNeXt-B2026.0493.7
LinearBackbone=ConvNeXt-B2026.0493.46
CLAdapterEvaluation Protocol=Fine-Tuning, Backbone=ViT-B2025.1291.41
CLAdapterEvaluation Protocol=Parameter-Efficient Fine-Tuning, Backbone=ViT-B2025.1291.41
LoRABackbone=ViT-B2026.0490.48
TSDBackbone=ResNet-502023.0389.41
MoRAEvaluation Protocol=Parameter-Efficient Fine-Tuning, Backbone=ViT-B2025.1289.09
SFTEvaluation Protocol=Fine-Tuning, Backbone=ViT-B2025.1288.91
LoRAEvaluation Protocol=Parameter-Efficient Fine-Tuning, Backbone=ViT-B2025.1288.53
DoRAEvaluation Protocol=Parameter-Efficient Fine-Tuning, Backbone=ViT-B2025.1288.43
SWADBackbone=ResNet-50, Selection Criterion=train-validation selection2022.0688.1
GMOE-S/16Backbone=ViT-S/16, Selection Criterion=train-validation selection2022.0688.1
EVIL-SAMOptimization=SAM2025.1287.8
FullEvaluation Protocol=Fine-Tuning, Backbone=ViT-B2025.1287.79
FullBackbone=ViT-B2026.0487.79
L2-SPEvaluation Protocol=Fine-Tuning, Backbone=ViT-B2025.1287.74
L2-SPBackbone=ViT-B2026.0487.74
TentBackbone=ResNet-502023.0387.48
TSDBackbone=ResNet-182023.0387.32
LAMEBackbone=ResNet-502023.0386.62
CORAL-SAMOptimization=SAM2025.1286.6
SagNet-SAMOptimization=SAM2025.1286.4
SagNetsBackbone=ResNet-502021.1086.3
CORALBackbone=ResNet-502021.1086.2
mDSDIBackbone=ResNet-502021.1086.2
ERMBackbone=ViT-S/16, Selection Criterion=train-validation selection2022.0686.2
T3ABackbone=ResNet-502023.0386.04
CORALBackbone=ResNet-50, Selection Criterion=train-validation selection2022.0686
ERMBackbone=ResNet-50, Selection Criterion=train-validation selection2022.0685.7
ERMBackbone=ResNet-502021.1085.5
FISHBackbone=ResNet-50, Selection Criterion=train-validation selection2022.0685.5
FishrBackbone=ResNet-50, Selection Criterion=train-validation selection2022.0685.5
SHOT-IMBackbone=ResNet-502023.0385.5
MIROBackbone=ResNet-50, Selection Criterion=train-validation selection2022.0685.4
PLBackbone=ResNet-502023.0385.23
RSCBackbone=ResNet-502021.1085.2
SparseIRM-SAMOptimization=SAM2025.1285.2
ARMBackbone=ResNet-502021.1085.1
ETABackbone=ResNet-502023.0385.04
BNBackbone=ResNet-502023.0385.03
MMDBackbone=ResNet-50, Selection Criterion=train-validation selection2022.0685
TentBackbone=ResNet-182023.0384.92
MLDGBackbone=ResNet-502021.1084.9
VREXBackbone=ResNet-502021.1084.9
PLBackbone=ResNet-182023.0384.64
MixupBackbone=ResNet-502021.1084.6
MMDBackbone=ResNet-502021.1084.6
MTLBackbone=ResNet-502021.1084.6
DANNBackbone=ResNet-50, Selection Criterion=train-validation selection2022.0684.6
ERMBackbone=ResNet-502023.0384.59
LAMEBackbone=ResNet-182023.0384.58
GroupDROBackbone=ResNet-502021.1084.4
MRM-SAMOptimization=SAM2025.1283.9
DANNBackbone=ResNet-502021.1083.6
IRMBackbone=ResNet-502021.1083.5
IRMBackbone=ResNet-50, Selection Criterion=train-validation selection2022.0683.5
T3ABackbone=ResNet-182023.0383.5
BNBackbone=ResNet-182023.0382.82
ETABackbone=ResNet-182023.0382.7
CDANNBackbone=ResNet-502021.1082.6
SHOT-IMBackbone=ResNet-182023.0382.55
ERMBackbone=ResNet-182023.0382.07
StyleMatchLabels per class=10, Backbone=ResNet-18, Pre-trained=ImageNet, Evaluation protocol=leave-one-domain-out2025.0379.4
StyleMatch + OursLabels per class=5, Evaluation protocol=leave-one-domain out, Average over seeds=52024.0379.3
Feature ModulationLabels per class=10, Backbone=ResNet-18, Pre-trained=ImageNet, Evaluation protocol=leave-one-domain-out2025.0378.7
StyleMatchLabels per class=5, Evaluation protocol=leave-one-domain out, Average over seeds=52024.0378.4
StyleMatchLabels per class=5, Backbone=ResNet-18, Pre-trained=ImageNet, Evaluation protocol=leave-one-domain-out2025.0378.4
DGWMLabels per class=10, Backbone=ResNet-18, Pre-trained=ImageNet, Evaluation protocol=leave-one-domain-out2025.0378.4
FBCSALabels per class=10, Backbone=ResNet-18, Pre-trained=ImageNet, Evaluation protocol=leave-one-domain-out2025.0378.2
DGWMLabels per class=5, Backbone=ResNet-18, Pre-trained=ImageNet, Evaluation protocol=leave-one-domain-out2025.0377.9
VPTBackbone=ViT-B2026.0477.44
FixMatch + OursLabels per class=5, Evaluation protocol=leave-one-domain out, Average over seeds=52024.0377.3
FBCSALabels per class=5, Backbone=ResNet-18, Pre-trained=ImageNet, Evaluation protocol=leave-one-domain-out2025.0377.3
VPT-AdapterEvaluation Protocol=Parameter-Efficient Fine-Tuning, Backbone=ViT-B2025.1276.76
FixMatchLabels per class=10, Backbone=ResNet-18, Pre-trained=ImageNet, Evaluation protocol=leave-one-domain-out2025.0376.6
DualTTA2026.0476.02
Feature ModulationLabels per class=5, Backbone=ResNet-18, Pre-trained=ImageNet, Evaluation protocol=leave-one-domain-out2025.0375.4
DeYO2026.0475.16
Tent2026.0474.96
FreeMatch + OursLabels per class=5, Evaluation protocol=leave-one-domain out, Average over seeds=52024.0373.7
FixMatchLabels per class=5, Evaluation protocol=leave-one-domain out, Average over seeds=52024.0373.4
FixMatchLabels per class=5, Backbone=ResNet-18, Pre-trained=ImageNet, Evaluation protocol=leave-one-domain-out2025.0373.4
SAR2026.0473.26
FreeMatchLabels per class=5, Evaluation protocol=leave-one-domain out, Average over seeds=52024.0372.8
FlexMatchLabels per class=10, Backbone=ResNet-18, Pre-trained=ImageNet, Evaluation protocol=leave-one-domain-out2025.0372.7