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Class-Incremental Learning on ImageNet-R (20-split)

79.4AccuracyARCL-ViT
38.039248.777159.51570.2529Feb 5, 2026

Evaluation results

MethodLinks
ARCL-ViTVenue=This work2026.0279.46.59
CPrompt-KACVenue=CVPR’252026.0275.73—
VPT-CPGVenue=AAAI’252026.0275.337.08
SD-LoRAVenue=ICLR’252026.0275.26—
ConvPromptVenue=CVPR’242026.0275.14.1
CPromptVenue=CVPR’242026.0274.797.34
SEMAVenue=CVPR’252026.0274.53—
EvoPromptVenue=AAAI’242026.0274.412.56
OVOR-DeepVenue=ICLR’242026.0273.856.8
LoRA-DRSVenue=CVPR’252026.0273.78—
OS-Prompt++Venue=ECCV’242026.0273.770.79
EASEVenue=CVPR’242026.0273.278.51
BiLoRAVenue=CVPR’252026.0272.41—
CODA-PromptVenue=CVPR’232026.0272.370.96
CAPromptVenue=AAAI’252026.0271.246.45
APGVenue=ICCV’232026.0271.227.39
InfLoRAVenue=CVPR’242026.0271.016.83
ESNVenue=AAAI’232026.0264.776.65
DualPromptVenue=ECCV’222026.0263.215.28
L2PVenue=CVPR’222026.0259.385.89
Seq-FTVenue=Baseline2026.0239.6353.98