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Class-Incremental Learning on Tiny-ImageNet 20 tasks

40.51AccuracyDyTox
7.64616.17824.7133.242Mar 6, 2025May 17, 2025Jul 29, 2025Oct 9, 2025Dec 21, 2025Mar 3, 2026May 15, 2026

Evaluation results

MethodLinks
DyToxMemory category=Memory-based2026.0540.510.3261—
DyToxMemory usage=Memory-based2025.0338.836.4258—
SNVMemory category=Memory-free2026.0537.470.0454—
MEMOMemory usage=Memory-based2025.0337.438.1563—
NFL+Memory usage=Memory-free2025.0336.6544.2956—
NFL+Memory category=Memory-free2026.0536.650.0756—
DCNetMemory usage=Memory-free2025.0335.845.4154—
DCNetMemory category=Memory-free2026.0535.80.0853—
NISPAMemory usage=Memory-free2025.0327.949.1247—
NISPAMemory category=Memory-free2026.0527.90.1247—
NFLMemory usage=Memory-free2025.0324.852.3844—
DER++Memory category=Memory-based2026.0517.470.5840—
PECMemory usage=Memory-free2025.0315.9156.1442—
PECMemory category=Memory-free2026.0515.910.1742—
iCaRLMemory category=Memory-based2026.0515.10.637—
DER++Memory usage=Memory-based2025.0314.633.7536—
SpaceNetMemory usage=Memory-free2025.0314.253.8336—
SpaceNetMemory category=Memory-free2026.0514.20.1640—
LwFMemory usage=Memory-free2025.0312.7654.5939—
LwFMemory category=Memory-free2026.0512.760.1739—
iCaRLMemory usage=Memory-based2025.0312.558.632—
SIMemory usage=Memory-free2025.0312.0255.4743—
SIMemory category=Memory-free2026.0512.020.2243—
EWCMemory usage=Memory-free2025.038.9153.5440—
EWCMemory category=Memory-free2026.058.910.2240—
ABDModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05———14.61
DCMIModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05———17.03
PMIModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05———25.67
PMI w/o CFSModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05———25.51
PRAKAModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05———13.62
R-DFCILModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05———24.85
REMIXModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05———27.11
SSREModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05———10.09
Upper boundModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05———55.25