Image Classification on Food101, DTD, Caltech101, Flowers102, and OxfordPets (Base-to-New Generalization) benchmark leaderboard · SOTA2 Research

Image Classification on Food101, DTD, Caltech101, Flowers102, and OxfordPets (Base-to-New Generalization)

86.8AccuracyFL2oRA-text

Evaluation Results

Method	Links
FL2oRA-text2025.12		86.8	3.63	1.2	2.97
FL2oRA-text2025.12		86.7	3.58	1.13	3.21
FL2oRA2025.12		86.34	4.1	1.55	3.35
FL2oRA-text2025.12		86.32	3.42	1.07	3.11
FL2oRA2025.12		86.25	3.91	1.41	3.2
FL2oRA2025.12		86.08	4.21	1.61	3.32
PromptFL2025.12		84.62	4.06	1.23	3.73
FL2oRA-vision2025.12		84.39	4.34	1.33	4.06
FL2oRA-vision2025.12		84.37	4.17	1.31	4
FL2oRA-vision2025.12		84.31	3.13	1.05	3.07
PromptFL2025.12		84.25	3.97	1.3	3.62
PromptFL2025.12		82.98	4.11	1.31	3.82
ZS-CLIP2025.12		82.05	4.52	1.43	4.69
FedPGP2025.12		81.51	4.93	1.65	4.8
FedPGP2025.12		81.09	6.17	2.07	5.97
FedPGP2025.12		80.9	5.82	1.82	5.69
FedPHA2025.12		54.97	16.03	4.64	15.69
FedPHA2025.12		54.56	17.93	5.53	17.38
FedPHA2025.12		52.34	20.55	6.63	19.86
FedOTP2025.12		29.52	21.88	5.03	21.9
FedOTP2025.12		28.63	26.57	7.34	26.63
FedOTP2025.12		28.53	25.35	6.25	25.32