Continual Learning on UCIT (Avg) benchmark leaderboard · SOTA2 Research

Continual Learning on UCIT (Avg)

89.69ImageNet-R AccuracyOctopus

Evaluation Results

Method	Links
Octopus2026.05		89.69	91.34	61.04	60.18	68.09	57.61	71.33
Multi-task2026.05		89.53	92.2	62.7	61.86	70.4	58.49	72.53
Vanilla Rehearsal2026.05		88.71	86.13	54.15	61.76	70.53	58.13	69.9
Octopus2026.05		88.41	93.3	61.65	59.91	66.32	56.87	71.08
HiDe-LLaVA2026.05		85.7	92.7	54.1	66.87	59.12	55.15	68.94
O-LoRA2026.05		75.26	86.73	55.86	58.47	57.38	53.52	64.54
MoELoRA2026.05		64.49	82.42	49.54	56.87	56.35	58.34	61.33
LwF2026.05		55.6	79.86	53.23	54.87	56.51	56.34	59.4
EWC2026.05		54.23	80.13	53.14	55.06	57.52	55.94	59.34
Sequential Finetune2026.05		49.31	78.4	50.48	53.44	55.53	57.95	57.52
L2P2026.05		41.52	82.32	51.98	52.21	43.16	52.77	53.99
Zero-shot2026.05		17.2	52.16	41.07	18.7	18.63	46.99	32.46