Continual Learning on Seq-Tiny-ImageNet benchmark leaderboard · SOTA2 Research

Continual Learning on Seq-Tiny-ImageNet

0.079AECEFC-NCCL + SAMix

Evaluation Results

Method	Links
FC-NCCL + SAMix2025.10		0.079	0.031	64.2
FC-NCCL + SAMix2025.10		0.088	0.021	74.4
FC-NCCL + SAMix2025.10		0.095	0.033	73.4
FC-NCCL2025.10		0.098	0.04	63.2
TA-NCCL + SAMix2025.10		0.115	0.052	56.8
FC-NCCL2025.10		0.13	0.05	69.7
TA-NCCL + SAMix2025.10		0.146	0.069	63.3
TA-NCCL + SAMix2025.10		0.146	0.069	64.7
FC-NCCL2025.10		0.17	0.073	69.7
TA-NCCL2025.10		0.206	0.095	48
TA-NCCL2025.10		0.251	0.112	59.2
TA-NCCL2025.10		0.258	0.117	57.1