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ResearchFormerly WizWand

Image Classification on CIFAR-10-LT (gamma=200) (test)

66.01AccuracyEmaQ-LT
7.759622.882338.00553.1277Jun 3, 2026
Updated 5mo ago

Evaluation results

MethodLinks
EmaQ-LTBackbone=ResNet-20, Bit-width=4-bit2026.0666.01
EmaQ-LTBackbone=ResNet-20, Bit-width=2-bit2026.0663.18
EmaQ-LTBackbone=MobileNet-V2, Bit-width=4-bit2026.0662.1
QimeraBackbone=ResNet-20, Bit-width=4-bit2026.0661.57
EMQNetBackbone=ResNet-20, Bit-width=2-bit2026.0661.35
Choi et al.Backbone=MobileNet-V2, Bit-width=4-bit2026.0661.04
QwTBackbone=ResNet-20, Bit-width=4-bit2026.0660.93
ZAQBackbone=ResNet-20, Bit-width=4-bit2026.0659.98
Choi et al.Backbone=ResNet-20, Bit-width=4-bit2026.0659.42
ZeroQBackbone=ResNet-20, Bit-width=2-bit2026.0659.1
ZeroQBackbone=MobileNet-V2, Bit-width=4-bit2026.0658.93
LLSQBackbone=ResNet-20, Bit-width=4-bit2026.0658.9
ZAQBackbone=ResNet-20, Bit-width=2-bit2026.0658.79
ZeroQBackbone=ResNet-20, Bit-width=4-bit2026.0658.7
ZAQBackbone=MobileNet-V2, Bit-width=4-bit2026.0658.49
Choi et al.Backbone=ResNet-20, Bit-width=2-bit2026.0658.46
EmaQ-LTBackbone=MobileNet-V2, Bit-width=2-bit2026.0657.59
BatchQuantBackbone=ResNet-20, Bit-width=4-bit2026.0656.55
Meta AugBackbone=ResNet-20, Bit-width=4-bit2026.0654.78
BatchQuantBackbone=ResNet-20, Bit-width=2-bit2026.0654.27
QwTBackbone=MobileNet-V2, Bit-width=4-bit2026.0654.18
Meta AugBackbone=ResNet-20, Bit-width=2-bit2026.0653.45
Meta AugBackbone=MobileNet-V2, Bit-width=4-bit2026.0648.49
QwTBackbone=ResNet-20, Bit-width=2-bit2026.0643.22
QimeraBackbone=ResNet-20, Bit-width=2-bit2026.0634.16
LLSQBackbone=MobileNet-V2, Bit-width=4-bit2026.0634.08
EMQNetBackbone=MobileNet-V2, Bit-width=2-bit2026.0627.6
EMQNetBackbone=ResNet-20, Bit-width=4-bit2026.0620.76
EMQNetBackbone=MobileNet-V2, Bit-width=4-bit2026.0620.09
QwTBackbone=MobileNet-V2, Bit-width=2-bit2026.0617.2
Meta AugBackbone=MobileNet-V2, Bit-width=2-bit2026.0610