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ResearchFormerly WizWand

Image Classification on SynDigits-LT (gamma=200)

92.05AccuracyEmaQ-LT
5.771628.170850.5772.9692Jun 3, 2026
Updated 5mo ago

Evaluation results

MethodLinks
EmaQ-LTBackbone=MobileNet-V2, Quantization Bits=4-bit2026.0692.05
EmaQ-LTBackbone=MobileNet-V2, Quantization Bits=2-bit2026.0689.45
Meta AugBackbone=ResNet-20, Quantization Bits=4-bit2026.0683.84
EmaQ-LTBackbone=ResNet-20, Quantization Bits=4-bit2026.0680.7
EmaQ-LTBackbone=ResNet-20, Quantization Bits=2-bit2026.0680.55
Choi et al.Backbone=ResNet-20, Quantization Bits=4-bit2026.0676.55
ZeroQBackbone=ResNet-20, Quantization Bits=4-bit2026.0673.55
Meta AugBackbone=MobileNet-V2, Quantization Bits=4-bit2026.0672.63
ZAQBackbone=ResNet-20, Quantization Bits=4-bit2026.0664.5
ZAQBackbone=MobileNet-V2, Quantization Bits=4-bit2026.0663.45
Choi et al.Backbone=ResNet-20, Quantization Bits=2-bit2026.0658.75
ZeroQBackbone=ResNet-20, Quantization Bits=2-bit2026.0658.05
BatchQuantBackbone=MobileNet-V2, Quantization Bits=4-bit2026.0652.75
BatchQuantBackbone=ResNet-20, Quantization Bits=2-bit2026.0652.3
BatchQuantBackbone=MobileNet-V2, Quantization Bits=2-bit2026.0649.32
Meta AugBackbone=ResNet-20, Quantization Bits=2-bit2026.0649
BatchQuantBackbone=ResNet-20, Quantization Bits=4-bit2026.0647.1
Choi et al.Backbone=MobileNet-V2, Quantization Bits=4-bit2026.0645.75
ZeroQBackbone=MobileNet-V2, Quantization Bits=4-bit2026.0642.55
EMQNetBackbone=ResNet-20, Quantization Bits=2-bit2026.0619.84
Meta AugBackbone=MobileNet-V2, Quantization Bits=2-bit2026.0619.59
EMQNetBackbone=ResNet-20, Quantization Bits=4-bit2026.0619.59
EMQNetBackbone=MobileNet-V2, Quantization Bits=4-bit2026.0619.59
EMQNetBackbone=MobileNet-V2, Quantization Bits=2-bit2026.0619.59
QwTBackbone=ResNet-20, Quantization Bits=4-bit2026.0618.08
QwTBackbone=ResNet-20, Quantization Bits=2-bit2026.0613.68
QwTBackbone=MobileNet-V2, Quantization Bits=2-bit2026.0610.44
QwTBackbone=MobileNet-V2, Quantization Bits=4-bit2026.069.09