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Unsupervised Domain Adaptation on Office-31

99.5A->W AccuracyPMTrans-Swin
76.172882.228988.28594.3411Mar 1, 2022Nov 17, 2022Aug 6, 2023Apr 24, 2024Jan 11, 2025Sep 30, 2025Jun 19, 2026

Evaluation results

MethodLinks
PMTrans-SwinBackbone=Swin2023.0399.599.410099.886.786.595.3
PMTrans-SwinBackbone=Swin-base-patch4-window7-2242024.0299.599.410099.886.786.595.3
PMTrans-BBackbone=Swin, Backbone Scale=Base2024.1299.599.410099.886.786.595.3
BCAT-BBackbone=Swin, Backbone Scale=Base2024.1299.299.510099.685.786.195
PMTrans-ViTBackbone=ViT2023.0399.199.610099.485.786.395
PMTrans-ViTBackbone=ViT-base-patch16-2242024.0299.199.610099.485.786.395
TransAdapter-BBackbone=Swin, Backbone Scale=Base2024.1299.198.910099.988.387.295.5
PMTrans-DeitBackbone=Deit2023.039999.410096.581.482.193.1
f-DD (Ours-Swin)Backbone=Swin-base-patch4-window7-224, Discrepancy=weighted-Jeffreys2024.0298.799.210099.286.185.694.8
ELS+VT-DUDAtype=Diffusion-based, Base Method=ELS, Augmentation=VT-DUDA2026.0698.3695.9710099.4678.1180.3492.04
FPSBackbone=ViT-B/162025.0898.3——98.885.185.391.9
f-DD (Ours-ViT)Backbone=ViT-base-patch16-224, Discrepancy=weighted-Jeffreys2024.029899.210098.683.583.993.9
PADCLIP-BBackbone=ViT, Backbone Scale=Base2024.1297.999.210098.584.685.394.3
SSRT-VITBackbone=ViT2023.0397.799.210098.683.582.293.5
SSRT-VITBackbone=ViT-base-patch16-2242024.0297.799.210098.683.582.293.5
SSRT-BBackbone=ViT, Backbone Scale=Base2024.1297.799.210098.683.582.293.5
SSRTBackbone=ViT-B/162025.0897.7——98.683.582.290.5
Swin-basedBackbone=Swin2023.039799.210095.882.481.892.7
Swin-based (source-only)Backbone=Swin-base-patch4-window7-2242024.029799.210095.882.481.892.7
CDTrans*Backbone=DeiT-base2025.0897——96.781.181.989.2
ELS+DCDMtype=Diffusion-based, Base Method=ELS, Augmentation=DCDM2026.0696.998.9110097.4679.7977.7491.8
CDTrans-DeitBackbone=Deit2023.0396.7991009781.181.992.6
CDTrans-BBackbone=DeiT, Backbone Scale=Base2024.1296.799.91009781.181.992.6
FPSBackbone=ResNet-502025.0896.6——95.178.477.486.4
TVTBackbone=Deit2023.0396.499.410096.484.98693.9
TVT-BBackbone=ViT, Backbone Scale=Base2024.1296.499.410096.484.986.193.9
ProDe-VSF=true, CLIP=false, Backbone=ResNet-502026.0296.496.999.896.683.182.992.6
TVTBackbone=ViT-B/162025.0896.4——96.484.98690.9
MCC+VT-DUDAtype=Diffusion-based, Base Method=MCC, Augmentation=VT-DUDA2026.0696.498.9810098.3477.3378.1391.53
GLOT-DRBackbone=ResNet-502022.0396.298.910090.669.969.687.8
FixBiBackbone=ResNet-502023.0396.199.31009578.779.491.4
CDCLBackbone=ResNet-502025.0896——9677.275.586.2
SRDCBackbone=ResNet-50, Pre-training=ImageNet, Mode=fine-tuned2023.0495.799.210095.876.777.190.8
CHATTY + MCCBackbone=ResNet-50, Pre-training=ImageNet, Mode=fine-tuned2023.0495.798.61009574.775.389.9
CGASF=true, CLIP=true, Backbone=ResNet-502026.0295.798.510097.482.58292.7
ALDABackbone=ResNet2024.1295.697.71009472.272.588.7
MCC+DCDMtype=Diffusion-based, Base Method=MCC, Augmentation=DCDM2026.0695.5198.5899.9395.3178.2678.4391.01
DIFO-VSF=true, CLIP=false, Backbone=ResNet-502026.0295.597.298.897.28383.292.5
MEDMBackbone=ResNet-502025.0895.5——92.877.278.586
MSGD2026.0695.599.210095.677.37790.8
CoWASF=true, CLIP=false, Backbone=ResNet-502026.0295.298.599.894.476.277.690.3
GVB-GDBackbone=ResNet-50, Pre-training=ImageNet, Mode=fine-tuned2023.0494.898.71009573.473.789.3
MCC+Terratype=Diffusion-based, Base Method=MCC, Augmentation=Terra2026.0694.5599.0310096.4678.6479.3791.34
MDDBackbone=ResNet-50, Pre-training=ImageNet, Mode=fine-tuned2023.0494.598.410093.574.672.288.9
CHATTYBackbone=ResNet-50, Pre-training=ImageNet, Mode=fine-tuned2023.0494.599.310091.173.771.788.4
MDDBackbone=ResNet-502023.0394.598.410093.574.672.288.9
TPDSSF=true, CLIP=false, Backbone=ResNet-502026.0294.598.799.897.175.775.590.2
SIDABackbone=ResNet-502025.0894.5——95.776.676.285.8
CANBackbone=ResNet-502025.0894.5——95787786.1
SCDABackbone=ResNet-502023.0394.298.799.895.275.776.290
CDANBackbone=ResNet-50, Pre-training=ImageNet, Mode=fine-tuned2023.0494.198.610092.97169.387.7
MCC2026.0694.0998.3299.6794.2575.8975.4689.61
ELS+Terratype=Diffusion-based, Base Method=ELS, Augmentation=Terra2026.0694.0999.2110096.2578.6779.4591.28
SHOTBackbone=ResNet-502025.0894——90.174.774.383.3
ELS2026.0693.8498.7810095.7877.7275.1390.21
MDD2026.0693.5598.6610093.9275.2973.9589.23
CDTrans-SBackbone=DeiT, Backbone Scale=Small2024.1293.598.299.694.678.47890.4
f-DALBackbone=ResNet-50, Pre-training=ImageNet, Mode=fine-tuned2023.0493.49910094.873.674.689.2
CDANValidation Method=Target Risk (Upper Bound)2026.0693.3310010093.0671.171.4588.16
TransAdapter-SBackbone=Swin, Backbone Scale=Small2024.1293.389.710093.887.18490.2
ELRSF=true, CLIP=false, Backbone=ResNet-502026.0293.39810093.876.276.989.6
CDANValidation Method=DEV2026.0693.2398.410092.8170.8971.1587.75
CDANBackbone=ResNet-502022.0393.198.210089.870.16886.6
CDANValidation Method=Original (Long et al., 2018)2026.0693.198.610092.97169.387.5
CDANBackbone=ResNet-502025.0892.9——94.169.37181.8
TATBackbone=ResNet2024.1292.599.310093.273.172.188.4
CDAN2026.0692.4298.6210091.4474.6172.888.32
ETDBackbone=ResNet-502022.0392.1100100887167.886.2
PDA-BBackbone=ViT, Backbone Scale=Base2024.1292.198.199.891.283.582.591.2
AaDSF=true, CLIP=false, Backbone=ResNet-502026.0292.199.110096.47576.589.9
AFN2026.0691.8298.7710095.1272.4370.7188.14
BNMBackbone=ResNet-502023.0391.598.510090.370.971.687.1
SDAT2026.0691.3298.8310095.2576.9773.1989.26
ViT-basedBackbone=ViT2023.0391.299.210090.481.180.691.1
ViT-based (source-only)Backbone=ViT-base-patch16-2242024.0291.299.210090.481.180.691.1
SHOTSF=true, CLIP=false, Backbone=ResNet-502026.0291.198.210093.774.274.688.6
SHOTBackbone=ResNet-50, Pre-training=ImageNet, Mode=fine-tuned2023.0490.998.899.993.174.574.888.7
NRCSF=true, CLIP=false, Backbone=ResNet-502026.0290.8991009675.37589.4
DeiT-BBackbone=DeiT, Backbone Scale=Base2024.1290.498.210090.876.876.488.8
sourceBackbone=ViT-B/162025.0890.4——90.876.876.483.6
SHOTBackbone=ResNet2024.1290.198.499.99474.774.388.6
DANN2026.0689.8597.9599.983.2673.2873.7586.33
GTABackbone=ResNet-502022.0389.597.999.887.772.871.486.5
Deit-basedBackbone=Deit2023.0389.210098.988.780.179.889.5
Swin-BBackbone=Swin, Backbone Scale=Base2024.1289.294.110093.180.981.389.8
ViT-BBackbone=ViT, Backbone Scale=Base2024.1289.298.910088.880.179.889.5
CDANValidation Method=IWCV2026.0688.9595.39787.5965.3767.9583.69
DeepJDOTBackbone=ResNet-502022.0388.998.599.688.272.170.186.2
PLUESF=true, CLIP=false, Backbone=ResNet-502026.0288.497.197.989.272.869.685.8
DeiT-SBackbone=DeiT, Backbone Scale=Small2024.1286.997.799.687.674.973.586.7
CDANValidation Method=Source Risk2026.0685.9598.610084.596561.3482.58
Swin-SBackbone=Swin, Backbone Scale=Small2024.1285.289.795.387.679.178.886.1
DANNBackbone=ResNet-502022.0384.596.899.477.566.264.881.6
AdaConSF=true, CLIP=false, Backbone=ResNet-502026.0283.191.372.887.773.777.681
JANBackbone=ResNet-502022.038296.999.179.768.267.482.2
DANNBackbone=ResNet-50, Pre-training=ImageNet, Mode=fine-tuned2023.048296.999.179.768.267.482.2
RevGradBackbone=ResNet2024.128296.999.179.768.267.482.2
DANBackbone=ResNet-502022.0380.597.199.678.663.662.880.4
DANBackbone=ResNet2024.1280.597.199.678.663.662.880.4
ERM2026.0677.0796.699.281.0864.1164.0180.35