Task-Incremental Learning on Seq-CIFAR-10 benchmark leaderboard · SOTA2 Research

Task-Incremental Learning on Seq-CIFAR-10

96.95FAAProNC

Evaluation Results

Method	Links
ProNC2025.05		96.95	0.24
ProNC2025.05		96.86	0.65
STAR2025.05		95.36	2.38
STAR2025.05		95.12	2.06
LODE2025.05		94.19	3.94
DER++2025.05		93.88	4.66
ER2025.05		93.61	3.5
DER2025.05		93.4	3.72
CILA2025.05		93.29	0.65
LODE2025.05		93.11	4.75
GEM2025.05		92.16	5.6
DER++2025.05		91.92	5.16
DER2025.05		91.4	6.08
CILA2025.05		91.36	5.89
ER2025.05		91.19	6.07
GSS2025.05		91.02	6.37
GEM2025.05		90.44	9.57
Co2L2025.05		89.51	2.65
iCaRL2025.05		88.99	25.34
GSS2025.05		88.8	8.49
iCaRL2025.05		88.22	22.61
MNC3L2025.05		85.94	3.15
MNC3L2025.05		85.07	4.9
Co2L2025.05		84.69	2.91
NCT2025.05		81.27	3.84
NCT2025.05		80.63	1.41
CSReL2025.05		73.3	16.89
CSReL2025.05		69.22	17.16