Few-Shot Class-Incremental Learning on MiniImageNet (Sessions 0-8) benchmark leaderboard · SOTA2 Research

Few-Shot Class-Incremental Learning on MiniImageNet (Sessions 0-8)

74.66Accuracy (Session 0)SAFA-SNN

Evaluation Results

Method	Links
SAFA-SNN2025.10		74.66	68.93	64.62	61.29	58.3	55.38	52.6	50.58	48.7	59.45	—
CLOSER2025.10		65.88	61.39	57.72	54.74	52.34	49.98	47.69	45.94	44.69	53.38	4.01
FACT2025.10		63.03	52.51	49.25	46.59	44.32	42.35	40.16	38.47	37.44	46.01	11.26
TEEN2025.10		62.87	52.75	49.64	46.91	44.82	42.81	40.59	39.18	38.01	46.4	10.69
ALADE2025.10		57.91	47.04	44.07	41.75	39.72	37.92	36.04	34.57	33.73	41.42	14.97
CEC2025.10		54.33	49.81	46.82	44.28	42.28	40.31	38.26	36.75	35.78	43.18	12.92
WARP2025.10		50.07	31.67	29.93	28.07	25.49	24.28	22.84	22.13	21.3	27.47	27.4
BIDIST2025.10		43.72	40.66	37.81	35.51	33.58	31.72	30.12	28.95	27.85	34.44	20.85
SAVC2025.10		41.75	38.54	35.79	33.4	31.31	29.47	27.83	26.37	25.05	32.17	23.65
S3C2025.10		31.55	16.52	17.89	31.17	24.69	29.02	15.35	27.3	26.56	24.45	22.14