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ResearchFormerly WizWand

Online Class-Incremental Learning on ImageNet-100 10 tasks (test)

56.8FAA (%)MOSE-MOE + GWM
9.68821.91934.1546.381Aug 12, 2025
Updated 5mo ago

Evaluation results

MethodLinks
MOSE-MOE + GWMMemory Size (Ms)=10K2025.0856.8
EMI + GWMMemory Size (Ms)=10K2025.0850.9
ER-DCBA + GWMMemory Size (Ms)=10K2025.0850.5
GSA + GWMMemory Size (Ms)=10K2025.0849
HPCR + GWMMemory Size (Ms)=10K2025.0848.4
SCR + GWMMemory Size (Ms)=10K2025.0846.5
ER-ACE + GWMMemory Size (Ms)=10K2025.0846.1
OCM + GWMMemory Size (Ms)=10K2025.0845.1
HPCR + GWMMemory Size (Ms)=1K, Backbone=ResNet-18, Batch Size=102025.0839.4
HPCR + GWMMemory Size (Ms)=0.5K, Backbone=ResNet-18, Batch Size=102025.0833.3
GSA + GWMMemory Size (Ms)=1K, Backbone=ResNet-18, Batch Size=102025.0830.2
HPCRMemory Size (Ms)=1K, Backbone=ResNet-18, Batch Size=102025.0828
HPCR + GWMMemory Size (Ms)=0.2K, Backbone=ResNet-18, Batch Size=102025.0826
GSA + GWMMemory Size (Ms)=0.5K, Backbone=ResNet-18, Batch Size=102025.0823.3
HPCRMemory Size (Ms)=0.5K, Backbone=ResNet-18, Batch Size=102025.0821.9
GSAMemory Size (Ms)=1K, Backbone=ResNet-18, Batch Size=102025.0820.2
HPCRMemory Size (Ms)=0.2K, Backbone=ResNet-18, Batch Size=102025.0816.2
GSA + GWMMemory Size (Ms)=0.2K, Backbone=ResNet-18, Batch Size=102025.0816.1
GSAMemory Size (Ms)=0.5K, Backbone=ResNet-18, Batch Size=102025.0815.7
ERMemory Size (Ms)=2K2025.0814.6
GSAMemory Size (Ms)=0.2K, Backbone=ResNet-18, Batch Size=102025.0811.5