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Continual Learning on Split CUB-200 20 Tasks

94.32Average AccuracySR2-LoRA
31.97248.158564.34580.5315Feb 24, 2026Mar 8, 2026Mar 20, 2026Apr 1, 2026Apr 13, 2026Apr 25, 2026May 8, 2026

Evaluation results

MethodLinks
SR2-LoRABackbone=ViT-B/16-IN21K2026.0594.32——89.71
MOSBackbone=ViT-B/16-IN21K2026.0593.66——89.42
SSIATBackbone=ViT-B/16-IN21K2026.0593.52——89.06
MACILBackbone=ViT-B/16-IN21K2026.0593.52——88.63
LoRA-DRSBackbone=ViT-B/16-IN21K2026.0592.66——87.5
EASEBackbone=ViT-B/16-IN21K2026.0591.02——84.51
SLCABackbone=ViT-B/16-IN21K2026.0590.14——82.48
CODA-PromptBackbone=ViT-B/16-IN21K2026.0578.1——66.41
Adaptive Trainingsequence_length=20 tasks2026.0236.2472.5939.6—
Adaptive Training2026.0236.2472.5939.6—
Adaptive Training2026.0236.2472.5939.6—
Frozen Trainingsequence_length=20 tasks2026.0234.969.2136.53—
Frozen Training2026.0234.969.2136.53—
Frozen Training2026.0234.969.2136.53—
Initialized Trainingsequence_length=20 tasks2026.0234.3771.5540.45—
Initialized Training2026.0234.3771.5540.45—
Initialized Training2026.0234.3771.5540.45—