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ResearchFormerly WizWand

Image Classification on ImageNet-200

62.14AccuracyCF spiking neuron model
-1.9416814.6949131.331547.96809Nov 28, 2021Aug 26, 2022May 24, 2023Feb 20, 2024Nov 17, 2024Aug 15, 2025May 14, 2026
Updated 5mo ago

Evaluation results

MethodLinks
CF spiking neuron modelType=Direct Training, Architecture=VGG-11, T=42026.0562.14
CF spiking neuron modelType=Direct Training, Architecture=VGG-11, T=22026.0561.76
LM-HTType=Direct Training, Architecture=VGG-13, T=42026.0561.75
LM-HTType=Direct Training, Architecture=VGG-13, T=22026.0561.09
CF spiking neuron modelType=Direct Training, Architecture=VGG-11, T=12026.0561.07
HD-LIFArchitecture=VGG-13, Param.(MB)=2.77, Type=Online Training, Time-steps=42024.1060.68
LM-HType=Direct Training, Architecture=VGG-13, T=42026.0559.93
DCTArchitecture=VGG-13†, Param.(MB)=38.02∗, Type=Hybrid Training, Time-steps=1252024.1056.9
ASGLArchitecture=VGG-13, Param.(MB)=38.02, Type=STBP Training, Time-steps=82024.1056.81
ASGLType=Direct Training, Architecture=VGG-13, T=82026.0556.81
ASGLArchitecture=VGG-13, Param.(MB)=38.02, Type=STBP Training, Time-steps=42024.1056.57
ASGLType=Direct Training, Architecture=VGG-13, T=42026.0556.57
Offline-LTLArchitecture=VGG-13†, Param.(MB)=38.02∗, Type=STBP Training, Time-steps=162024.1055.37
Offline-LTLType=Hybrid, Architecture=VGG-13, T=162026.0555.37
Online-LTLArchitecture=VGG-13†, Param.(MB)=38.02∗, Type=Online Training, Time-steps=162024.1054.82
Online-LTLType=Hybrid, Architecture=VGG-13, T=162026.0554.82
SNN calibrationType=ANN2SNN, Architecture=VGG-16, T=322026.0553.96
QCFSType=ANN2SNN, Architecture=VGG-16, T=322026.0553.54
GradAug (n=2)Backbone=ResNet18, Client Configuration (C)=16, Sampling Rate=1.0, GFLOPS=34.4, Param (M)=11.222021.110.635
GradAug (n=1)Backbone=ResNet18, Client Configuration (C)=16, Sampling Rate=1.0, GFLOPS=25.3, Param (M)=11.222021.110.628
FedAlignBackbone=ResNet18, Client Configuration (C)=16, Sampling Rate=1.0, GFLOPS=19.3, Param (M)=11.222021.110.62
MOONBackbone=ResNet18, Client Configuration (C)=16, Sampling Rate=1.0, GFLOPS=54.4, Param (M)=19.962021.110.611
FedProxBackbone=ResNet18, Client Configuration (C)=16, Sampling Rate=1.0, GFLOPS=18.1, Param (M)=22.422021.110.61
MixupBackbone=ResNet18, Client Configuration (C)=16, Sampling Rate=1.0, GFLOPS=18.1, Param (M)=11.222021.110.61
FedAvgBackbone=ResNet18, Client Configuration (C)=16, Sampling Rate=1.0, GFLOPS=18.1, Param (M)=11.222021.110.607
StochDepthBackbone=ResNet18, Client Configuration (C)=16, Sampling Rate=1.0, GFLOPS=17.3, Param (M)=11.222021.110.605
GradAug (n=2)Backbone=ResNet18, Client Configuration (C)=32, Sampling Rate=0.125, Total Rounds=50, GFLOPS=34.4, Param (M)=11.222021.110.556
FedAlignBackbone=ResNet18, Client Configuration (C)=32, Sampling Rate=0.125, Total Rounds=50, GFLOPS=19.3, Param (M)=11.222021.110.551
GradAug (n=1)Backbone=ResNet18, Client Configuration (C)=32, Sampling Rate=0.125, Total Rounds=50, GFLOPS=25.3, Param (M)=11.222021.110.544
MOONBackbone=ResNet18, Client Configuration (C)=32, Sampling Rate=0.125, Total Rounds=50, GFLOPS=54.4, Param (M)=19.962021.110.543
StochDepthBackbone=ResNet18, Client Configuration (C)=32, Sampling Rate=0.125, Total Rounds=50, GFLOPS=17.3, Param (M)=11.222021.110.529
FedAvgBackbone=ResNet18, Client Configuration (C)=32, Sampling Rate=0.125, Total Rounds=50, GFLOPS=18.1, Param (M)=11.222021.110.527
FedProxBackbone=ResNet18, Client Configuration (C)=32, Sampling Rate=0.125, Total Rounds=50, GFLOPS=18.1, Param (M)=22.422021.110.525
MixupBackbone=ResNet18, Client Configuration (C)=32, Sampling Rate=0.125, Total Rounds=50, GFLOPS=18.1, Param (M)=11.222021.110.523