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Continual Learning on ImageNet-R 50 tasks

74.85Accuracy (Last Task)SR2-LoRA
47.851654.860861.8768.8792May 8, 2026

Evaluation results

MethodLinks
SR2-LoRABackbone=ViT-B/16-IN21K, Number of Tasks=502026.0574.85——80.51
SSIATBackbone=ViT-B/16-IN21K, Number of Tasks=502026.0574.52——79.01
LoRA-DRSBackbone=ViT-B/16-IN21K, Number of Tasks=502026.0572.17——78.05
MACILBackbone=ViT-B/16-IN21K, Number of Tasks=502026.0570.1——77.47
SLCABackbone=ViT-B/16-IN21K, Number of Tasks=502026.0568.95——71.15
EASEBackbone=ViT-B/16-IN21K, Number of Tasks=502026.0568.53——75.49
CL-LoRABackbone=ViT-B/16-IN21K, Number of Tasks=502026.0568.36——76.8
MOSBackbone=ViT-B/16-IN21K, Number of Tasks=502026.0566.92——74.81
InfLoRABackbone=ViT-B/16-IN21K, Number of Tasks=502026.0561.91——71.2
CODA-PromptBackbone=ViT-B/16-IN21K, Number of Tasks=502026.0548.89——55.59
ARCL-ViTVenue=This work2026.02—76.458.2—
ConvPromptVenue=CVPR’242026.02—64.617.12—
CPromptVenue=CVPR’242026.02—70.757.44—
EASEVenue=CVPR’242026.02—70.276.73—
InfLoRAVenue=CVPR’242026.02—62.8110.37—
L2PVenue=CVPR’222026.02—51.3812.34—
OVOR-DeepVenue=ICLR’242026.02—63.255.23—
Seq-FTVenue=Baseline2026.02—22.5770.01—
VPT-CPGVenue=AAAI’252026.02—73.0812.12—