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Image Classification on CIFAR-10, CIFAR-100, CUB-200, Food-101, DTD, SKIN-40, Aircraft, Flower-102

90Mean AccuracyCoAt-CBM
45.64457.159568.67580.1905Apr 17, 2026

Evaluation results

MethodLinks
CoAt-CBMShots=Full2026.0490
LoRA-LPShots=Full2026.0487.14
Linear ProbeShots=Full2026.0486.8
CoAt-CBMShots=162026.0484.94
Linear ProbeShots=162026.0482.2
LoRA-LPShots=162026.0481.83
CoAt-CBMShots=82026.0481.52
LoRA-LPShots=82026.0477.73
Linear ProbeShots=82026.0477.68
CoAt-CBMShots=42026.0475.29
Linear ProbeShots=42026.0472.19
LoRA-LPShots=42026.0471.35
CoAt-CBMShots=22026.0468.25
Linear ProbeShots=22026.0464.14
LoRA-LPShots=22026.0462.2
CoAt-CBMShots=12026.0456.51
Linear ProbeShots=12026.0451.49
LoRA-LPShots=12026.0447.35