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Image Classification on Cross-Dataset Benchmark ResNet50 backbone (test)

19.89Accuracy (Aircraft)BCA
14.398815.824417.2518.6756Jul 1, 2025

Evaluation results

MethodLinks
BCABackbone=ResNet50, Training-free=true2025.0719.8989.742.1266.385.5863.3863.5158.1348.5877.1961.44
DPEBackbone=ResNet50, Training-free=false2025.0719.890.8341.6767.685.9764.2461.9859.2650.1877.8361.93
MS-TTABackbone=ResNet50, Training-free=true2025.0719.2388.5247.6168.9486.0263.0564.6859.6143.9778.8562.05
BoostAdapterBackbone=ResNet50, Training-free=true2025.0718.9388.4844.468.2585.7562.8364.4259.6743.8578.7861.54
HisTPTBackbone=ResNet50, Training-free=false2025.0718.187.242.567.684.963.564.161.341.381.361.18
TDABackbone=ResNet50, Training-free=true2025.0717.6189.742.1168.7486.1862.5364.1857.7843.7477.7561.03
DiffTPTBackbone=ResNet50, Training-free=false2025.0717.686.8941.0463.5383.462.7262.9760.7140.7279.2159.88
TPTBackbone=ResNet50, Training-free=false2025.0717.5887.0228.3362.6984.4961.4660.8258.4640.8474.8857.66
CLIPBackbone=ResNet50, Training-free=false2025.0716.1187.2625.7962.7782.9760.8559.4855.8940.3774.8256.63
CoOpBackbone=ResNet50, Training-free=false2025.0715.1286.5326.261.558758.1559.0555.3237.2975.5956.18
CoCoOpBackbone=ResNet50, Training-free=false2025.0714.6186.3828.7365.5788.3959.6157.156.2238.5376.257.13