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ResearchFormerly WizWand

Image Classification on CIFAR-100 IF=10 long-tail (test)

74.1Top-1 AccuracyGLMC + SAMN
55.06860.00964.9569.891Sep 9, 2021Jun 23, 2022Apr 7, 2023Jan 20, 2024Nov 2, 2024Aug 17, 2025Jun 1, 2026
Updated 5mo ago

Evaluation results

MethodLinks
GLMC + SAMNBackbone=ResNet32, Imbalance Factor=102026.0674.1
GLMCBackbone=ResNet32, Imbalance Factor=102026.0672.8
CE + SAMNBackbone=ResNet32, Imbalance Factor=102026.0670.1
SLAS + SAMNBackbone=ResNet32, Imbalance Factor=102026.0670.1
SLASBackbone=ResNet32, Imbalance Factor=102026.0669.7
WD + MaxNormBackbone=ResNet32, Imbalance Factor=102026.0668.7
CE (with WD in stage one)Backbone=ResNet32, Imbalance Factor=102026.0667.2
LCRegBackbone=ResNet-322022.0664.2
DiffuLTBackbone=ResNet32, Imbalance Factor=102026.0663.8
MISLASBackbone=ResNet-322022.0663.2
CSABackbone=ResNet32, Imbalance Factor=102026.0662.6
SSDBackbone=ResNet-322021.0962.3
DiVEBackbone=ResNet32, Imbalance Factor=102026.0662
ADRWBackbone=ResNet32, Imbalance Factor=102026.0661.9
MetaSAug CEBackbone=ResNet-322022.0661.7
Remix+DRWBackbone=ResNet-322022.0661.3
De-confoundBackbone=ResNet-322021.0959.6
BBN(include mixup)Backbone=ResNet-322022.0659.2
BBNBackbone=ResNet-322021.0959.1
BBNBackbone=ResNet32, Imbalance Factor=102026.0659.1
LDAM+DRWBackbone=ResNet-322022.0658.8
LDAM-DRWBackbone=ResNet-322021.0958.7
LDAM-DRWBackbone=ResNet32, Imbalance Factor=102026.0658.7
CMOBackbone=ResNet32, Imbalance Factor=102026.0658.4
CUDABackbone=ResNet32, Imbalance Factor=102026.0658.4
mixupBackbone=ResNet-322022.0658.2
CE-DRWBackbone=ResNet-322021.0958.2
LWSBackbone=ResNet-32, reproduced=true2021.0958.1
CE-DRSBackbone=ResNet-322021.0958.1
cRTBackbone=ResNet32, Imbalance Factor=102026.0658.1
Domain AdaptionBackbone=ResNet-322021.0958
M2mBackbone=ResNet-322021.0957.6
CEBackbone=ResNet-322022.0655.8
Cross Entropy (CE)Backbone=ResNet-32, reproduced=true2021.0955.8
FocalBackbone=ResNet-322021.0955.8
Focal LossBackbone=ResNet32, Imbalance Factor=102026.0655.8