Image Classification on Food101 Base-to-new generalization benchmark leaderboard · SOTA2 Research

Image Classification on Food101 Base-to-new generalization

93.75Accuracy (Base Classes)CLIP

Evaluation Results

Method	Links
CLIP2025.03		93.75	94.82	94.28
MMA2025.03		93.7	94.57	94.13
2SFS2025.03		93.11	94.76	93.93
+DPC2025.03		91.4	91.58	91.49
PromptSRC + DePT2023.09		90.87	91.57	91.22
ProSRC2025.03		90.83	91.58	91.2
MetaPrompt2022.12		90.74	91.85	91.29
CoPrompt2023.06		90.73	92.07	91.4
MaPLe2022.12		90.71	92.05	91.38
MaPLe2023.06		90.71	92.05	91.38
MaPLe2024.12		90.71	92.05	91.38
CoCoOp2023.03		90.7	91.29	90.99
CoCoOp2022.12		90.7	91.29	90.99
Co-CoOp2023.06		90.7	91.29	90.99
CoCoOp2024.12		90.7	91.29	90.99
PromptSRC2023.06		90.67	91.53	91.1
ProSRC.2024.12		90.67	91.53	91.1
SkipT.2024.12		90.67	92.03	91.34
PromptSRC2023.09		90.63	91.53	91.08
+DePT2025.03		90.61	91.63	91.12
CoCoOp2023.09		90.57	91.2	90.88
TCP2024.12		90.57	91.37	90.97
TCP2025.03		90.57	91.37	90.97
KgCoOp2023.03		90.5	91.7	91.09
KgCoOp + DePT2023.09		90.5	91.6	91.05
KgCoOp2023.06		90.5	91.7	91.09
KgCoOp2024.12		90.5	91.7	91.09
DePT2024.12		90.5	91.6	91.05
KgCoOp2023.09		90.47	91.6	91.03
CoOp2023.09		90.43	90.97	90.7
CoOp + DePT2023.09		90.43	91.33	90.88
ProGrad2023.03		90.37	89.59	89.98
ProGrad2023.06		90.37	89.59	89.98
ProGrad2024.12		90.37	89.59	89.98
CoPro.*2024.12		90.37	91.53	90.95
MaPLe + DePT2023.09		90.33	91.53	90.93
CoCoOp + DePT2023.09		90.3	91.3	90.8
MaPLe2023.09		90.3	91.53	90.91
VPT + DePT2023.09		90.27	91.03	90.65
CLIP2023.03		90.1	91.22	90.66
CLIP2022.12		90.1	91.22	90.66
CLIP2023.06		90.1	91.22	90.66
VPT2023.09		89.8	90.37	90.08
CoOp2023.03		89.44	87.5	88.46
CoOp2022.12		88.33	82.26	85.19
CoOp2023.06		88.33	82.26	85.19
CoOp2024.12		88.33	82.26	85.19