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Continual Learning on Split CIFAR-100 (20 tasks)

94.08Mean Test AccuracySR2-LoRA
-2.307222.716447.7472.7636Feb 22, 2021Jan 4, 2022Nov 17, 2022Sep 30, 2023Aug 12, 2024Jun 25, 2025May 8, 2026

Evaluation results

MethodLinks
SR2-LoRABackbone=ViT-B/16-IN21K2026.0594.08———90.45——————
SSIATBackbone=ViT-B/16-IN21K2026.0593.54———90.07——————
MACILBackbone=ViT-B/16-IN21K2026.0593.47———90.31——————
SLCABackbone=ViT-B/16-IN21K2026.0593.03———89.62——————
MOSBackbone=ViT-B/16-IN21K2026.0592.97———89.48——————
LoRA-DRSBackbone=ViT-B/16-IN21K2026.0592.35———88.76——————
EASEBackbone=ViT-B/16-IN21K2026.0590.83———86.32——————
CL-LoRABackbone=ViT-B/16-IN21K2026.0588.98———83.75——————
CODA-PromptBackbone=ViT-B/16-IN21K2026.0588.17———81.36——————
InfLoRABackbone=ViT-B/16-IN21K2026.0587.33———81.59——————
Adaptive Trainingsequence_length=20 tasks2026.0280.81—45.08————————
RMNBackbone=ResNet-182021.0280.01——————————
Initialized Trainingsequence_length=20 tasks2026.0279.36—46.68————————
Frozen Trainingsequence_length=20 tasks2026.0278.28—45.88————————
GD-WILDBackbone=ResNet-18, Requires storing previous data=true2021.0377.16-14.85—————————
Adam-NSCLBackbone=ResNet-18, Requires storing previous data=false2021.0375.95-3.66—————————
LwFBackbone=ResNet-18, Requires storing previous data=false2021.0374.38-9.11—————————
EWCBackbone=ResNet-18, Requires storing previous data=false2021.0371.66-3.72—————————
RWALKBackbone=ResNet-18, Data replay buffer=true, Multiheaded=true, Samples=50002021.0270.1——————————
GEMBackbone=ResNet-18, Requires storing previous data=true2021.0368.89-1.2—————————
OWMBackbone=ResNet-18, Requires storing previous data=false2021.0368.47-3.37—————————
MUC-MASBackbone=ResNet-18, Requires storing previous data=false2021.0367.22-5.72—————————
MEGA-IIBackbone=ResNet-18, Data replay buffer=true, Trained over all tasks=false, Additional model used=true, Points per task=13002021.0266.12——————————
MEGABackbone=ResNet-18, Requires storing previous data=true2021.0364.98-5.13—————————
MASBackbone=ResNet-18, Requires storing previous data=false2021.0363.84-6.29—————————
A-GEMBackbone=ResNet-18, Requires storing previous data=true2021.0361.91-6.88—————————
SIBackbone=ResNet-18, Requires storing previous data=false2021.0359.76-8.62—————————
InstAParamBackbone=ResNet-18, Requires storing previous data=false2021.0351.04-4.92—————————
SIBackbone=ResNet-182021.0245.49——————————
EWCBackbone=ResNet-18, Multiheaded=true2021.0242.67——————————
MASBackbone=ResNet-18, Pretrained network=true, Multiheaded=true2021.0242——————————
Adaptive Training2026.0239.09—45.0880.81———————
Initialized Training2026.0237.79—46.6879.36———————
Frozen Training2026.0237.59—45.8878.28———————
AGS-CLBackbone=ResNet-18, Multiheaded=true2021.0227.6——————————
HATBackbone=ResNet-18, Pretrained network=true, Multiheaded=true2021.0223.6——————————
DER++Phase=3, Samples per task=5002026.0519.03—————21.32————
ERPhase=3, Samples per task=5002026.0515.96—————23.91————
DER++Phase=1, Setting=Method comparison2026.0513.46-0.5248———0.920917.68————
DER++Phase=3, Samples per task=2002026.0513.08—————20.62————
ERPhase=1, Setting=Method comparison2026.0511.6-0.4955———0.764416.1————
ERPhase=3, Samples per task=2002026.0511.56—————20.74————
DER++Phase=3, Samples per task=1002026.0510.8—————24.43————
ERPhase=3, Samples per task=1002026.058.97—————15.52————
DER++Phase=3, Samples per task=502026.057.12—————16.75————
ERPhase=3, Samples per task=502026.055.84—————17.15————
LwFPhase=1, Setting=Method comparison2026.054.67-0.6925———1.544211.83————
FinetunePhase=1, Setting=Method comparison2026.053.84-0.6437———5.73411.93————
FPR-MidPhase=2, Setting=FPR ablation2026.053.82-0.6582———3.49247.8————
FPRPhase=3, Samples per task=1002026.053.75—————5————
FPR-TrajPhase=1, Setting=Method comparison2026.053.74-0.6546———0.55683.32————
FPR-TrajOnlyPhase=2, Setting=FPR ablation2026.053.68-0.6534———13.570317.77————
FPRPhase=3, Samples per task=502026.053.67—————4.47————
FPRPhase=3, Samples per task=5002026.053.61—————6————
FPR-FullPhase=1, Setting=Method comparison2026.053.6-0.6263———1.57584.04————
FPR-FullPhase=2, Setting=FPR ablation2026.053.53-0.636———0.40833.47————
FPR-JacPhase=1, Setting=Method comparison2026.053.45-0.5707———1.27165.36————
FPR-LatePhase=2, Setting=FPR ablation2026.053.39-0.5223———4.317512.26————
FPR-JacOnlyPhase=2, Setting=FPR ablation2026.053.34-0.5735———1.95655.39————
FPRPhase=3, Samples per task=2002026.053.21—————4.48————
FPR-EarlyPhase=2, Setting=FPR ablation2026.052.89-0.6182———2.07837.43————
EWCPhase=1, Setting=Method comparison2026.051.4-0.0921———7.248711.95————
DER++ + FPR-FullPhase=4, Samples per task=502026.05———————-0.0021-0.0218-0.2579-0.1279
DER++ + FPR-FullPhase=4, Samples per task=1002026.05———————0.0008-0.0429-0.1135-0.1176
DER++ + FPR-FullPhase=4, Samples per task=2002026.05———————0.01110.0571-0.2661-0.0748
ER + FPR-LatePhase=4, Samples per task=502026.05———————-0.0267-0.05810.51280.0012
ER + FPR-LatePhase=4, Samples per task=1002026.05———————-0.047-0.10270.49410.0028
ER + FPR-LatePhase=4, Samples per task=2002026.05———————-0.0461-0.14150.3111-0.0207