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Image Classification on ImageNet and 10 Target Datasets (zero-shot)

72.03ImageNet Accuracy (zero-shot)MMRL
70.178870.659471.1471.6206May 18, 2026

Evaluation results

MethodLinks
MMRL#Params=4.9M, ×PERL=817×, Evaluation Mode=zero-shot, Training Source=ImageNet2026.0572.0394.6791.4366.172.7786.426.367.5745.953.168.2767.251.69
MMRL++#Params=813K, ×PERL=136×, Evaluation Mode=zero-shot, Training Source=ImageNet2026.0571.8794.6391.4366.673.5386.7326.0767.7746.135369.0367.491.93
CoOp#Params=2K, ×PERL=0.33×, Evaluation Mode=zero-shot, Training Source=ImageNet2026.0571.5193.789.1464.5168.7185.318.4764.1541.9246.3966.5563.881.68
TCP#Params=331K, ×PERL=55×, Evaluation Mode=zero-shot, Training Source=ImageNet2026.0571.493.9791.2564.6971.2186.6923.4567.1544.3551.4568.7366.290.73
PromptSRC#Params=46K, ×PERL=8×, Evaluation Mode=zero-shot, Training Source=ImageNet2026.0571.2793.690.2565.770.2586.1523.967.146.8745.568.7565.810.25
CoCoOp#Params=35K, ×PERL=6×, Evaluation Mode=zero-shot, Training Source=ImageNet2026.0571.0294.4390.1465.3271.8886.0622.9467.3645.7345.3768.2165.740.18
MMAC#Params=675K, ×PERL=113×, Evaluation Mode=zero-shot, Training Source=ImageNet2026.057193.890.366.1372.0786.1225.3368.1746.5749.2468.3266.611.05
MaPLe#Params=3.5M, ×PERL=583×, Evaluation Mode=zero-shot, Training Source=ImageNet2026.0570.7293.5390.4965.5772.2386.224.7467.0146.4948.0668.6966.30.74
KgCoOp#Params=2K, ×PERL=0.33×, Evaluation Mode=zero-shot, Training Source=ImageNet2026.0570.6693.789.8365.4170.0186.3622.5166.1646.3546.0468.565.960.4
PERL#Params=6K, ×PERL=1×, Evaluation Mode=zero-shot, Training Source=ImageNet2026.0570.2594.3390.3666.9270.7986.3724.667.4645.7240.0169.0565.56—