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Image Classification on CIFAR-10 (Pruning Efficiency and Accuracy Tradeoff)

0.24Accuracy ChangeDepGraph
-1.0496-0.7148-0.38-0.0452Jan 30, 2023

Evaluation results

MethodLinks
DepGraphBackbone=ResNet-56, Speed Up Target=~2.1x2023.010.2493.5393.772.11
DepGraphBackbone=ResNet-56, Speed Up Target=~2.5x2023.010.1193.5393.642.57
C-SGDBackbone=ResNet-562023.010.0593.3993.442.55
PolarBackbone=ResNet-562023.010.0393.893.831.88
ResRepBackbone=ResNet-562023.01093.7193.712.12
GReg-2Backbone=ResNet-562023.01093.3693.362.55
NISPBackbone=ResNet-562023.01-0.03——1.76
DepGraph w/o SLBackbone=ResNet-56, Speed Up Target=~2.1x2023.01-0.0793.5393.462.11
HRankBackbone=ResNet-562023.01-0.0993.2692.172
DepGraph w/o SLBackbone=ResNet-56, Speed Up Target=~2.5x2023.01-0.1793.5393.362.51
GReg-1Backbone=ResNet-562023.01-0.1893.3693.182.55
SFPBackbone=ResNet-562023.01-0.2393.5993.362.11
GeometricBackbone=ResNet-562023.01-0.3393.5993.261.7
GBNBackbone=ResNet-562023.01-0.3393.192.772.51
AMCBackbone=ResNet-562023.01-0.992.891.92
AFPBackbone=ResNet-562023.01-0.9993.9392.942.56
CPBackbone=ResNet-562023.01-192.891.82