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Image Classification on 11 Base Image Recognition Datasets

89.2Average AccuracyCLIP-LoRA + ADK
68.545673.907879.2784.6322Oct 14, 2024Dec 24, 2024Mar 6, 2025May 17, 2025Jul 28, 2025Oct 8, 2025Dec 19, 2025

Evaluation results

MethodLinks
CLIP-LoRA + ADKBackbone=ViT-L/142025.1289.283.285.760.997.188.393.596.399.499.187.790.2—
CLIP-LoRABackbone=ViT-L/142025.1288.982.685.460.397.287.893.396.199.499.186.789.6—
2SFS + ADKBackbone=ViT-L/142025.1288.983.285.759.396.987.593.996.199.598.986.990—
2SFSBackbone=ViT-L/142025.1288.782.985.35996.987.493.89699.498.986.190—
Rep-Adapter + ADKBackbone=ViT-L/142025.1287.682.784.655.395.786.392.59599.699.184.188.7—
Rep-AdapterBackbone=ViT-L/142025.1287.182.183.854.295.686.191.994.499.398.984.287.6—
MMABackbone=ViT-L/142025.1285.783.2855077.385.394.296.29998.685.288.6—
2SFS2024.1085.5577.7182.5947.48—82.589.1195.3298.2998.7184.687.8596.91
LPT2024.1085.178.5382.8347.2—80.190.7395.697.4798.7381.487.7395.8
CLIP-SVD2025.0984.38————————————
PromptSRC2024.1084.2677.682.6742.73—78.2790.6795.3398.0798.183.3787.192.9
IVLP2025.0984.21————————————
TCP2025.0984.13————————————
TCP2024.1084.1377.2782.6341.97—80.890.5794.6797.7398.2382.7787.1391.63
CLIP-LoRA2025.0984.1————————————
GDA2025.0983.96————————————
Dept2024.1083.6277.0382.3343.2—79.1390.594.339898.382.285.889.03
MMA2024.1083.277.3182.2740.57—78.590.1395.497.7798.483.286.2385.46
LASP2024.1082.776.280.734.53—75.1791.295.99798.181.484.7794.6
CoOp2025.0982.69————————————
CoOp2024.1082.6976.4780.640.44—78.1288.3393.6797.69879.4484.6992.19
ProGrad2025.0982.48————————————
MaPLe2025.0982.28————————————
MaPLe2024.1082.2876.6680.8237.44—72.9490.7195.4395.9297.7480.368394.07
KgCoOp2025.0980.73————————————
CoCoOp2025.0980.47————————————
CoCoOp2024.1080.4775.9879.7433.41—70.4990.795.294.8797.9677.0182.3387.49
CLIPBackbone=ViT-L/142025.1276.279.273.237.570.974.693.893.880.395.659.179.9—
CLIP2025.0969.34————————————
CLIP2024.1069.3472.4369.3627.19—63.3790.191.1772.0896.8453.2470.5356.48