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ResearchFormerly WizWand

Image Classification on ImageNet-100 70% Compression (test)

84.82Top-1 AccuracyOurLP-180
76.063278.336680.6182.8834Jul 8, 2026
Updated 3mo ago

Evaluation results

MethodLinks
OurLP-180Backbone=ResNet-50, Epochs=180, Pruning Type=Layer Pruning2026.0784.82-0.2295.860.32
Our-180Backbone=ResNet-50, Epochs=1802026.0784.480.1295.660.52
Our-180Backbone=VGG-19, Epochs=1802026.0784.141.195.90.26
Our-90Backbone=ResNet-50, Epochs=902026.0783.581.0295.121.06
PGMPFBackbone=ResNet-502026.0783.51.195.540.64
SFPBackbone=ResNet-502026.0782.382.2294.921.26
OurLP-90Backbone=ResNet-50, Epochs=90, Pruning Type=Layer Pruning2026.0782.122.4895.260.92
FPGMBackbone=ResNet-502026.0781.962.6495.121.06
Our-90Backbone=VGG-19, Epochs=902026.0781.883.3694.861.3
OurLP-90Backbone=VGG-19, Epochs=90, Pruning Type=Layer Pruning2026.0781.723.5294.921.24
PGMPFBackbone=VGG-192026.0780.584.6694.12.06
NSBackbone=ResNet-502026.0780.184.4294.281.9
Our-180Backbone=GoogLeNet, Epochs=1802026.0779.26.1294.282.1
SFPBackbone=VGG-192026.0779.146.193.52.66
PGMPFBackbone=GoogLeNet2026.0778.946.3894.242.14
NSBackbone=VGG-192026.0778.886.3693.52.66
OTO-90Backbone=GoogLeNet, Epochs=902026.0778.566.7693.942.44
FPGMBackbone=GoogLeNet2026.0777.487.8492.943.44
SFPBackbone=GoogLeNet2026.0777.38.0293.243.14
Our-90Backbone=GoogLeNet, Epochs=902026.0777.288.0493.343.04
FPGMBackbone=VGG-192026.0776.48.8492.14.06