Object Recognition on CIFAR-100 5 tasks, 20 classes per task (test) benchmark leaderboard · SOTA2 Research

Object Recognition on CIFAR-100 5 tasks, 20 classes per task (test)

63.87AccuracyHydraCIL

Evaluation Results

Method	Links
HydraCIL2026.06		63.87	1.57	0.005	9.2
RMM-FOSTER2026.06		63.01	37.55	0.227	0.041
HydraCIL2026.06		62.75	1.37	0.005	8.1
DER2026.06		62.67	28.5	0.172	0.032
HydraCIL2026.06		61.86	1.3	0.004	7.8
CIFNet2026.06		59.98	13.9	0.058	0.01
Fine-tune2026.06		17.14	10.91	0.061	0.011