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ResearchFormerly WizWand

Class-Incremental Learning on TinyImageNet 10 Steps (test)

52.71Average Last AccuracySEEDG
9.165220.470131.77543.0799Aug 18, 2025
Updated 7mo ago

Evaluation results

MethodLinks
SEEDGBuffer Size=500, Backbone=ViT2025.0852.71——
DytoxBuffer Size=500, Backbone=ViT2025.0847.12——
SEEDGBuffer Size=200, Backbone=ViT2025.0846.4——
DytoxBuffer Size=200, Backbone=ViT2025.0837.84——
SSILBuffer Size=500, Backbone=CNN2025.0836.91——
D3FormerBuffer Size=500, Backbone=ViT2025.0834.3——
AMDBuffer Size=500, Backbone=CNN2025.0833.96——
SSILBuffer Size=200, Backbone=CNN2025.0832.78——
CKDF-iCaRLBuffer Size=500, Backbone=CNN2025.0832.11——
AMDBuffer Size=200, Backbone=CNN2025.0826.99——
CKDF-iCaRLBuffer Size=200, Backbone=CNN2025.0824.63——
DER++Buffer Size=500, Backbone=CNN2025.0819.64——
FOSTERBuffer Size=500, Backbone=CNN2025.0814.61——
DER++Buffer Size=200, Backbone=CNN2025.0812.43——
FOSTERBuffer Size=200, Backbone=CNN2025.0810.84——
CLIP2026.03—69.5565.59
Continual-CLIP2026.03—70.5566.43
DyTox2026.03—52.2642.79
Fine-tune2026.03—57.0541.54
iCaRL2026.03—73.4865.97
LwF2026.03—57.644
LwF-VR2026.03—74.1267.05
PASS2026.03—47.1939.27
SimE2026.03—79.3275.37
SimEBackbone=CLIP ViT-L/14, Pre-trained Dataset=Laion-2B2026.03—86.4183.33
UCIR2026.03—48.5837.29
ZSCL2026.03—78.6171.62