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Image Classification on Office-Home (test)

89.33Mean AccuracyRAC
71.514876.139980.76585.3901Apr 4, 2019Jun 15, 2020Aug 27, 2021Nov 8, 2022Jan 20, 2024Apr 2, 2025Jun 15, 2026

Evaluation results

MethodLinks
RACModel=ViT-Base [9], Adapter rank=162026.0689.33——————————————————————————————————
cLAModel=ViT-Base [9], Adapter rank=162026.0689.21——————————————————————————————————
c3LAModel=ViT-Base [9], Adapter rank=162026.0689.18——————————————————————————————————
r-c3LAModel=ViT-Base [9], Adapter rank=162026.0689.17——————————————————————————————————
SDFedBackbone=ViT-B162026.0289.04—————————————88.6478.4895.8293.23—————————————————
CoLAModel=ViT-Base [9], Adapter rank=162026.0689.01——————————————————————————————————
AsymModel=ViT-Base [9], Adapter rank=162026.0689——————————————————————————————————
LoRAModel=ViT-Base [9], Adapter rank=162026.0688.96——————————————————————————————————
r-cLAModel=ViT-Base [9], Adapter rank=162026.0688.83——————————————————————————————————
UOPPBackbone=ViT-B162026.0288.19—————————————87.4577.1695.2492.91—————————————————
LoRA+Model=ViT-Base [9], Adapter rank=162026.0687.87——————————————————————————————————
FedOTPBackbone=ViT-B162026.0287.61—————————————87.6974.5495.8192.39—————————————————
PowderBackbone=ViT-B162026.0287.43—————————————87.8674.2595.2792.35—————————————————
FFTModel=ViT-Base [9]2026.0686.42——————————————————————————————————
FedSCAlInitial Sever Model pre-trained on=Clipart, Backbone=ViT small, Pre-training=ImageNet2025.1286.01———81.1388.1988.69————————————————————————————
GPT-FLBackbone=ViT-B162026.0285.77—————————————82.2776.3294.7589.75—————————————————
DIFO++ViL=true2026.0484.573.291.489.783.69189.880.873.89084.374.292.3——————————————————————
CoOpBackbone=ViT-B162026.0284.38—————————————85.3269.2692.3790.57—————————————————
FedMOONInitial Sever Model pre-trained on=Clipart, Backbone=ViT small, Pre-training=ImageNet2025.1284.15———79.4285.6787.34————————————————————————————
SDFedBackbone=ResNet502026.0284.07—————————————83.1273.5691.4588.14—————————————————
FedProxInitial Sever Model pre-trained on=Clipart, Backbone=ViT small, Pre-training=ImageNet2025.1283.67———79.8185.186.12————————————————————————————
PERADAPersonalized Params=Adapter2023.0283.58——————————————————————————————————
FedWCAInitial Sever Model pre-trained on=Clipart, Backbone=ViT small, Pre-training=ImageNet2025.1283.46———78.8884.8386.68————————————————————————————
FedLoAInitial Sever Model pre-trained on=Clipart, Backbone=ViT small, Pre-training=ImageNet2025.1283.18———78.9784.3386.24————————————————————————————
DIFOViL=true2026.0483.170.690.688.882.590.688.880.970.188.983.470.591.2——————————————————————
UOPPBackbone=ResNet502026.0282.64—————————————81.5671.3490.5287.12—————————————————
FedCGS + SLOT-Alignalpha=0.05, Backbone=ViT-B/32, Alignment strength (tau)=0.42026.0682.23—————————————77.6474.4390.9985.86——————————6.56——————
FedOTPBackbone=ResNet502026.0281.68—————————————81.3568.5190.1286.72—————————————————
STANDALONEPersonalized Params=Full model2023.0281.64——————————————————————————————————
PowderBackbone=ResNet502026.0281.43—————————————81.4268.1289.6586.54—————————————————
FedCGSalpha=0.05, Backbone=ViT-B/322026.0680.6—————————————76.827088.9686.62——————————7.63——————
LoRAModel=ViT-Base, Rank (r)=16, Target Modules=Query, Value, Classification Head, Number of seeds=32026.0680.5——————————————————————————1———————
CoLAModel=ViT-Base, Rank (r)=16, Target Modules=Query, Value, Classification Head, Number of seeds=32026.0680.5——————————————————————————1———————
RACModel=ViT-Base, Rank (r)=16, Target Modules=Query, Value, Classification Head, Number of seeds=32026.0680.4——————————————————————————0.998———————
AsymBackbone=ViT-Base2026.0680.4——————————————————————————————————
RACBackbone=ViT-Base2026.0680.4——————————————————————————————————
UCon-SFDAViL=false2026.0480.365.687.89178.679.387.680.265.987.383.269.188.7——————————————————————
D-PaCAModel=ViT-Base, Rank (r)=16, Target Modules=Query, Value, Classification Head, Number of seeds=32026.0680.3——————————————————————————0.997———————
r-cLABackbone=ViT-Base2026.0680.3——————————————————————————————————
AsymModel=ViT-Base, Rank (r)=16, Target Modules=Query, Value, Classification Head, Number of seeds=32026.0680.2——————————————————————————0.995———————
LoRAModel=ViT-Tiny [9], Adapter rank=162026.0680.13——————————————————————————————————
PaCAModel=ViT-Base, Rank (r)=16, Target Modules=Query, Value, Classification Head, Number of seeds=32026.0680.1——————————————————————————0.994———————
FedPFT + SLOT-Alignalpha=0.05, Backbone=ViT-B/32, Alignment strength (tau)=0.42026.0680.08—————————————75.5371.887.4985.5——————————6.59——————
ViLAaD-VViL=true2026.048066.686.887.577.288.187.177.165.988.578.76889.1——————————————————————
C-PaCAModel=ViT-Base, Rank (r)=16, Target Modules=Query, Value, Classification Head, Number of seeds=32026.0680——————————————————————————0.994———————
D-PaCABackbone=ViT-Base2026.0680——————————————————————————————————
C-PaCABackbone=ViT-Base2026.0680——————————————————————————————————
cLAModel=ViT-Base, Rank (r)=16, Target Modules=Query, Value, Classification Head, Number of seeds=32026.0679.9——————————————————————————0.992———————
c3LAModel=ViT-Base, Rank (r)=16, Target Modules=Query, Value, Classification Head, Number of seeds=32026.0679.9——————————————————————————0.992———————
cLABackbone=ViT-Base2026.0679.9——————————————————————————————————
c3LABackbone=ViT-Base2026.0679.9——————————————————————————————————
r-c3LABackbone=ViT-Base2026.0679.9——————————————————————————————————
r-cLAModel=ViT-Base, Rank (r)=16, Target Modules=Query, Value, Classification Head, Number of seeds=32026.0679.8——————————————————————————0.991———————
r-c3LAModel=ViT-Base, Rank (r)=16, Target Modules=Query, Value, Classification Head, Number of seeds=32026.0679.8——————————————————————————0.991———————
TPDS-ViLViL=true2026.0479.767.782.786.176.58886.373.669.487.179.370.589.7——————————————————————
Co-learn-VViL=true2026.0479.771.687.78872.383.586.473.76787.777.170.990.8——————————————————————
PaCABackbone=ViT-Base2026.0679.7——————————————————————————————————
FFTModel=ViT-Tiny [9]2026.0679.68——————————————————————————————————
GPT-FLBackbone=ResNet502026.0279.56—————————————76.1270.2188.3483.56—————————————————
CoLAModel=ViT-Tiny [9], Adapter rank=162026.0679.54——————————————————————————————————
SHOT-ViLViL=true2026.0479.564.78486.479.487.385.478.165.887.681.66588.5——————————————————————
NRC-ViLViL=true2026.0479.55583.486.778.386.585.177.169.987.290.965.588.4——————————————————————
AaD-ViLViL=true2026.0479.569.48384.976.485.284.673.371.186.37972.188.7——————————————————————
LoAInitial Sever Model pre-trained on=Clipart, Backbone=ViT small, Pre-training=ImageNet2025.1279.45———73.8680.4584.03————————————————————————————
r-c3LAModel=ViT-Tiny [9], Adapter rank=162026.0679.32——————————————————————————————————
LoRABackbone=ViT-Base2026.0679.3——————————————————————————————————
CoLABackbone=ViT-Base2026.0679.3——————————————————————————————————
c3LAModel=ViT-Tiny [9], Adapter rank=162026.0678.69——————————————————————————————————
RACModel=ViT-Tiny [9], Adapter rank=162026.0678.55——————————————————————————————————
AsymModel=ViT-Tiny [9], Adapter rank=162026.0678.02——————————————————————————————————
cLAModel=ViT-Tiny [9], Adapter rank=162026.0678.01——————————————————————————————————
r-cLAModel=ViT-Tiny [9], Adapter rank=162026.0678.01——————————————————————————————————
Target-supervisedBackbone=VGG16, Setting=Upper-bound supervised2020.127875.888.381.666.488.381.666.475.881.666.475.888.3——————————————————————
CoOpBackbone=ResNet502026.0277.88—————————————78.6462.1586.4284.31—————————————————
LoRA+Model=ViT-Tiny [9], Adapter rank=162026.0677.87——————————————————————————————————
Dual AdaptInitial Sever Model pre-trained on=Clipart, Backbone=ViT small, Pre-training=ImageNet2025.1276.88———70.5878.0681.99————————————————————————————
FedSCAlInitial Server Pre-training Domain=Real-World2025.1276.59—————————79.6860.9689.12——————————————————————
TPDS+MemFlowBackbone=ResNet-50, Protocol=SFUDA2024.0273.960.180.582.870.280.381.169.556.782.87561.485.9—————————————21.692————————
PFC+MemFlowBackbone=ResNet-50, Protocol=SFUDA2024.0273.760.979.982.168.880.180.367.959.483.373.461.885.9—————————————16.609————————
SiLANViL=false2026.0473.658.281.282.569.878.680.368.458.682.575.660.886.1——————————————————————
FedMOONInitial Server Pre-training Domain=Real-World2025.1273.57—————————78.8655.2686.59——————————————————————
TPDSViL=false2026.0473.559.380.382.170.679.480.969.856.882.174.561.285.3——————————————————————
TPDSBackbone=ResNet-50, Protocol=SFUDA, Note=Reproduced results2024.0273.560.18082.870.278.980.269.156.682.874.86185.6—————————————20.037————————
FedProxInitial Server Pre-training Domain=Real-World2025.1273.38—————————77.1257.0685.92——————————————————————
FedPFTalpha=0.05, Backbone=ViT-B/322026.0673.38—————————————70.0758.7680.2484.45——————————9.93——————
PFCBackbone=ResNet-50, Protocol=SFUDA, Note=Reproduced results2024.0273.260.479.88268.679.280.267.858.883.17161.585.6—————————————16.57————————
FedLoAInitial Server Pre-training Domain=Real-World2025.1273.08—————————77.5555.0186.68——————————————————————
SCLMViL=false2026.047358.280.381.569.37980.76956.882.774.760.685——————————————————————
SFDA-DEsource-free=true, Backbone=ResNet-502022.0472.959.779.582.469.778.679.266.157.282.673.960.885.5——————————————————————
MDAIRBackbone=Inception-ResNet-v22019.0472.8————————————10—————————————————————
A2Netsource-free=true, Backbone=ResNet-502022.0472.858.47982.467.579.378.96856.282.974.160.585——————————————————————
AaD+MemFlowBackbone=ResNet-50, Protocol=SFUDA2024.0272.857.778.682.468.780.28067.257.882.972.859.785.5—————————————5.84————————
FixBisource-free=false, Backbone=ResNet-502022.0472.758.177.380.467.779.578.165.857.981.776.462.986.7——————————————————————
AaDViL=false2026.0472.759.379.382.168.979.879.567.257.483.172.158.585.4——————————————————————
ELRViL=false2026.0472.658.478.781.569.279.579.366.35882.673.459.885.1——————————————————————
CoWAViL=false2026.0472.556.978.48169.18079.967.757.282.472.860.584.5——————————————————————
SF(DA)2ViL=false2026.0472.557.379.181.668.478.278.769.556.581.97459.985.1——————————————————————
FedWCAInitial Server Pre-training Domain=Real-World2025.1272.32—————————76.5954.2586.12——————————————————————
SHOT+MemFlowBackbone=ResNet-50, Protocol=SFUDA2024.0272.357.479.281.868.378.978.868.255.981.874.159.284.6—————————————6.071————————
NRCViL=false2026.0472.257.780.38268.179.878.665.356.4837158.685.6——————————————————————