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ResearchFormerly WizWand

Domain-incremental Learning on CDDB

86.35Average AccuracyOurs
49.159658.814868.4778.1252Nov 30, 2025Dec 20, 2025Jan 10, 2026Jan 30, 2026Feb 20, 2026Mar 12, 2026Apr 2, 2026
Updated 7mo ago

Evaluation results

MethodLinks
OursBuffer=0/class2026.0486.3587.12
PINABuffer=0/class2026.0485.7186.32
JointTraining Setting=Joint (Static training on all experiences)2025.1185.5—
DUCTBuffer=0/class2026.0484.1485.1
LUCIRBuffer=100/class2026.0482.5380.68
LUCIRBuffer=50/class2026.0480.7778.25
iCaRLBuffer=100/class2026.0479.7678.51
MIRATraining Setting=Continual Learning2025.1177.37—
LRCILBuffer=100/class2026.0476.3975.99
S-iPromptsTraining Setting=Continual Learning2025.1174.51—
LRCILBuffer=50/class2026.0474.0173.42
iCaRLBuffer=50/class2026.0473.9871.86
CODA-PromptBuffer=0/class2026.0469.1974.18
S-iPromptBuffer=0/class2026.0468.5172.76
DualPromptBuffer=0/class2026.0468.3371.41
L2PBuffer=0/class2026.0467.3364.45
L2PTraining Setting=Continual Learning2025.1161.28—
LwFTraining Setting=Continual Learning2025.1160.94—
SimpleCILBuffer=0/class2026.0460.863.4
DyToxTraining Setting=Continual Learning2025.1151.27—
EWCTraining Setting=Continual Learning2025.1150.59—