Task-Incremental Learning on Tiny ImageNet Seq benchmark leaderboard · SOTA2 Research

Task-Incremental Learning on Tiny ImageNet Seq

6.84FFNCT

Evaluation Results

Method	Links
NCT2025.05		6.84	62.3
ProNC2025.05		9.42	69.09
ProNC2025.05		9.52	69.77
Co2L2025.05		13.8	50.74
NCT2025.05		15.88	52.71
LODE2025.05		18.61	61.49
STAR2025.05		19.49	59.32
TA-NCCL2025.10		21.51	—
DER++2025.05		25.47	51.91
CILA2025.05		27.83	49.19
TA-NCCL2025.10		27.99	—
CSReL2025.05		28.2	51.94
DER2025.05		28.21	51.78
LODE2025.05		29.66	51.42
ER2025.05		30.73	48.64
CCLIS2025.10		33.2	—
CSReL2025.05		34.12	45.04
MNC3L2025.05		39	36.32
DER++2025.05		39.02	43.06
STAR2025.05		39.16	43.01
iCaRL2025.05		39.44	31.55
DER2025.05		40.43	40.22
ER2025.05		40.47	38.17
Co2L2025.05		40.75	38.4
CILA2025.05		41.4	37.32
iCaRL2025.05		42.47	28.19
MNC3L2025.05		45.1	32.78