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Continual Learning on CUB-200 Split

90.9Final Avg AccuracyNoRGa
5.82827.9145072.086May 23, 2024Sep 7, 2024Dec 23, 2024Apr 9, 2025Jul 25, 2025Nov 9, 2025Feb 24, 2026

Evaluation results

MethodLinks
NoRGaBackbone=ViT-B/16, Pre-training=Sup-21K2024.0590.9——
RanPACBackbone=ViT-B/16, Pre-training=Sup-21K2024.0590.3——
ADAM + AdapterBackbone=ViT-B/16, Pre-training=Sup-21K2024.0585.84——
ADAM + SSFBackbone=ViT-B/16, Pre-training=Sup-21K2024.0585.67——
ADAM + VPT-DBackbone=ViT-B/16, Pre-training=Sup-21K2024.0585.28——
TreeLoRATIME (s)=86 ± 32025.0673.66—4.87
HiDeLoRATIME (s)=194 ± 32025.0673.48—5.38
HiDePromptTIME (s)=307 ± 12025.0663.86—5.57
GEMTIME (s)=7233 ± 182025.0661.28—2.64
L2PTIME (s)=333 ± 52025.0639.72—7.98
Adaptive TrainingTraining Mode=Adaptive2026.0239.0120.76—
Initialized TrainingTraining Mode=Initialized2026.0237.9821.28—
DualPromptTIME (s)=315 ± 42025.0637.52—11.91
Frozen TrainingTraining Mode=Frozen2026.0237.1521.18—
EWCTIME (s)=1702 ± 92025.0636.34—6.65
SeqLoRATIME (s)=194 ± 112025.069.1—83.45