Few-shot Image Classification on Caltech101 (test) benchmark leaderboard · SOTA2 Research

Few-shot Image Classification on Caltech101 (test)

94.17Accuracy (1-shot)MMRL

Evaluation Results

Method	Links
MMRL2025.03		94.17	94.83	96.03	96.27	97.13
MMRL2025.05		94.17	94.83	96.03	96.27	97.13
MMRL++2025.05		94.07	94.9	95.8	96.13	96.73
CoCoOp2025.03		93.83	94.82	94.98	95.04	95.16
CoCoOp2025.05		93.83	94.82	94.98	95.04	95.16
PromptSRC2025.03		93.67	94.53	95.27	95.67	96.07
PromptSRC2025.05		93.67	94.53	95.27	95.67	96.07
MMA2025.03		92.9	94	94.33	95.37	96.33
MMA2025.05		92.9	94	94.33	95.37	96.33
CoOp2025.03		92.6	93.07	94.4	94.37	95.57
CoOp2025.05		92.6	93.07	94.4	94.37	95.57
MaPLe2025.03		92.57	93.97	94.43	95.2	96
MaPLe2025.05		92.57	93.97	94.43	95.2	96
Linear probe CLIP2025.03		79.88	89.01	92.05	93.41	95.43
Linear probe CLIP2025.05		79.88	89.01	92.05	93.41	95.43