List your company

Image Classification on ImageNet ILSVRC 2012

84.7Top-1 AccuracyNFNet-F1
14.271232.555650.8469.1244Apr 1, 2021Feb 9, 2022Dec 21, 2022Nov 1, 2023Sep 11, 2024Jul 23, 2025Jun 3, 2026

Evaluation results

MethodLinks
NFNet-F1Params=133M, FLOPS=36B2021.0484.7
ResNet-RS-420Params=192M, FLOPS=64B2021.0484.4
EfficientNet-B6Params=43M, FLOPS=19B2021.0484.3
EmaQModels=ResNet-50, Bit-width=4-bit2026.0672.7
TexQModels=ResNet-50, Bit-width=4-bit2026.0670.72
ZAQModels=ResNet-50, Bit-width=4-bit2026.0670.1
ZeroQModels=ResNet-50, Bit-width=4-bit2026.0669.3
Choi et al.Models=ResNet-50, Bit-width=4-bit2026.0669.1
DFQModels=ResNet-50, Bit-width=4-bit2026.0668.97
GDFQModels=ResNet-50, Bit-width=4-bit2026.0668.7
AdaSGModels=ResNet-50, Bit-width=4-bit2026.0668.58
AdaDFQModels=ResNet-50, Bit-width=4-bit2026.0668.38
OCSModels=ResNet-50, Bit-width=4-bit2026.0666.2
EmaQModels=ResNet-50, Bit-width=2-bit2026.0666.1
EmaQModels=ResNet-18, Bit-width=4-bit2026.0665.7
ZAQModels=ResNet-50, Bit-width=2-bit2026.0665.5
GDFQModels=ResNet-50, Bit-width=2-bit2026.0665
GZNQModels=ResNet-18, Bit-width=4-bit2026.0664.5
ZeroQModels=ResNet-50, Bit-width=2-bit2026.0663.1
Choi et al.Models=ResNet-50, Bit-width=2-bit2026.0663
EmaQModels=ResNet-18, Bit-width=2-bit2026.0661.1
GDFQModels=ResNet-18, Bit-width=4-bit2026.0660.6
ACIQModels=ResNet-50, Bit-width=4-bit2026.0659.3
APoTModels=ResNet-50, Bit-width=4-bit2026.0658.2
APoTModels=ResNet-18, Bit-width=4-bit2026.0644.3
DoReFaModels=ResNet-50, Bit-width=4-bit2026.0633.2
ZeroQModels=ResNet-18, Bit-width=4-bit2026.0626
TexQModels=ResNet-50, Bit-width=3-bit2026.0625.27
AdaDFQModels=ResNet-50, Bit-width=3-bit2026.0617.63
AdaSGModels=ResNet-50, Bit-width=3-bit2026.0616.98