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Class-Incremental Image Classification on CIFAR-100

46.9Accuracy (Last Task)Constrained Expansive Over-Sampling (CEOS)
15.80423.87731.9540.023Jun 4, 2026

Evaluation results

MethodLinks
Constrained Expansive Over-Sampling (CEOS)T=10, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0646.9—60.2
LDCT=10, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0645.4—59.5
ADCT=10, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0645.2—59.7
EFCT=10, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=true2026.0643.5—58.1
PRAKAT=10, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=true2026.0642.4—56.9
SDCT=10, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0640.6—56.2
LDCT=20, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0635.5—51.9
ADCT=20, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0635.1—51.7
FeTrILT=10, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=true2026.0634.9—51.2
Constrained Expansive Over-Sampling (CEOS)T=20, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0634.9—48
FeCAMT=10, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0632.4—48.7
EFCT=20, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=true2026.0632.4—47
SDCT=20, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0632.3—46.6
LwFT=10, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0631.9—51.8
PRAKAT=20, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=true2026.0631.3—46.2
EWCT=10, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0630.9—50.4
PASST=10, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=true2026.0630.8—48.3
FeTrILT=20, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=true2026.0623.3—37.9
FeCAMT=20, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0621.1—34.5
LwFT=20, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0617.6—39.2
PASST=20, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=true2026.0617.6—31.1
EWCT=20, Training from scratch=true, Backbone=ResNet-18, Prototype rehearsal approach=false2026.0617—34.2
AdaGaussT (Number of tasks)=10, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—16.7—
AdaGaussT (Number of tasks)=20, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—21—
ADCT (Number of tasks)=10, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—21.9—
ADCT (Number of tasks)=20, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—31—
BiCycT (Number of tasks)=10, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—13.5—
BiCycT (Number of tasks)=20, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—16.6—
EFCT (Number of tasks)=10, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—23.1—
EFCT (Number of tasks)=20, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—24.7—
LDCT (Number of tasks)=10, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—21.7—
LDCT (Number of tasks)=20, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—25.6—
LwFT (Number of tasks)=10, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—23.2—
LwFT (Number of tasks)=20, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—31.2—
SDCT (Number of tasks)=10, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—34.8—
SDCT (Number of tasks)=20, Backbone=ResNet-18, Batch size=256, Training Initialization=from-scratch2026.06—35.9—