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Continual Learning on ImageNet-R (20 tasks)

86.26Average Accuracy (20 Tasks)LoDA + CA
49.745659.225368.70578.1847Mar 30, 2024Aug 13, 2024Dec 27, 2024May 13, 2025Sep 26, 2025Feb 9, 2026Jun 26, 2026

Evaluation results

MethodLinks
LoDA + CAFeature Replay=true2026.0286.26—81.13——
LoDAFeature Replay=false2026.0284.94—78.96——
MACILVenue=ICML-25, Feature Replay=true2026.0284.34—79.43——
SR2-LoRABackbone=ViT-B/16-IN21K, Number of Tasks=202026.0584.32—79.54——
MACILBackbone=ViT-B/16-IN21K, Number of Tasks=202026.0584.25—79.46——
CoSOVenue=NIPS-25, Feature Replay=false2026.0283.69—78.19——
CL-LoRABackbone=ViT-B/16-IN21K, Number of Tasks=202026.0583.45—77.2——
LITELORATask Order=Order 12026.0682.83——7.846
LoRA-P&MVenue=NIPS-25, Feature Replay=false2026.0282.77—76.37——
SD-LoRATask Order=Order 12026.0682.41——10.2520
SSIATBackbone=ViT-B/16-IN21K, Number of Tasks=202026.0582.35—78.31——
SSIATVenue=CVPR-24, Feature Replay=true2026.0282.3—75.67——
LITELORATask Order=Order 32026.0681.71——12.266
LITELORATask Order=Order 22026.0681.64——8.497
SD-LoRATask Order=Order 22026.0681.55——8.8920
SD-LoRATask Order=Order 32026.0681.27——13.6720
jointBackbone=ViT-B/16, Pre-training=ImageNet-21K2024.0381.1481.14———
LoRA-DRSBackbone=ViT-B/16-IN21K, Number of Tasks=202026.0580.66—74.96——
SLCABackbone=ViT-B/16-IN21K, Number of Tasks=202026.0580.65—75.53——
MOSBackbone=ViT-B/16-IN21K, Number of Tasks=202026.0580.39—75.04——
EASEBackbone=ViT-B/16-IN21K, Number of Tasks=202026.0580.28—73.78——
SD-LoRAVenue=ICLR-25, Feature Replay=false2026.0280.22—75.26——
SLCAVenue=ICCV-23, Feature Replay=true2026.0279.92—74.63——
InfLoRABackbone=ViT-B/16-IN21K, Number of Tasks=202026.0579.76—73.01——
Bi-LoRAVenue=CVPR-25, Feature Replay=false2026.0279.28—72.41——
InfLoRABackbone=ViT-B/16, Pre-training=ImageNet-21K, Inserted blocks=All Transformer blocks2024.0377.2871.01———
InfLoRAVenue=CVPR-24, Feature Replay=false2026.0277.28—71.01——
CODAPromptVenue=CVPR’23, Feature Replay=false2026.0275.34—69.96——
CODA-PromptBackbone=ViT-B/16-IN21K, Number of Tasks=202026.0575.34—69.96——
L2PVenue=CVPR’22, Feature Replay=false2026.0275.28—69.64——
InfLoRA-b5Backbone=ViT-B/16, Pre-training=ImageNet-21K, Inserted blocks=Bottom 5 Transformer blocks2024.037468.41———
LAEBackbone=ViT-B/16, Pre-training=ImageNet-21K2024.0373.7266.98———
DualPromptVenue=ECCV’22, Feature Replay=false2026.0272.45—66.61——
CODA-PBackbone=ViT-B/16, Pre-training=ImageNet-21K2024.0372.3467.28———
C-LoRABackbone=ViT-B/16, Pre-training=ImageNet-21K2024.0370.6365.71———
DualPromptBackbone=ViT-B/16, Pre-training=ImageNet-21K2024.0365.861———
L2PBackbone=ViT-B/16, Pre-training=ImageNet-21K2024.0364.5757.92———
sequentialBackbone=ViT-B/16, Pre-training=ImageNet-21K2024.0351.1534.62———