Domain-Incremental Classification on OpenImage (test) benchmark leaderboard · SOTA2 Research

Domain-Incremental Classification on OpenImage (test)

95.22Accuracy (T1)FedET

Evaluation Results

Method	Links
FedET2026.02		95.22	44.52	39.94	34.14	33.61	32.27
FedAvg2026.02		93.69	41.54	33.97	28.94	24.75	25.22
FedProx2026.02		93.69	41.54	33.98	29.64	24.73	25.22
FedEWC2026.02		93.69	41.64	34.22	29.02	25.02	25.19
FedAvg2026.02		64.38	52.64	53.08	58.44	58.68	57.14
FedProx2026.02		64.38	52.55	53.62	53.94	57.25	57.2
FedEWC2026.02		64.38	52.72	53.42	59.66	59.22	58.04
FedIL+2026.02		63.24	49.87	49.26	47.26	47.92	44.56
OSCAR-IL2026.02		53.5	47.5	48.33	45.85	46.76	45.76
OSCAR-R2026.02		53.5	45.41	47.56	44.64	45.42	45.24
OSI-FL2026.02		53.5	52.36	53.85	57.18	60.85	56.67
OSCAR-IL2026.02		52.74	47.4	48.72	45.66	46.67	45.78
OSCAR-R2026.02		52.74	45.41	47.56	44.64	45.42	45.24
OSI-FL2026.02		52.74	52.36	53.85	52.74	60.85	59.67