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Table 4 Rank-1 accuracy and complexity (M: number of parameters and T: GFLOPS) of baseline and pruned ResNet CNNs on ImageNet dataset [77]

From: Exploiting prunability for person re-identification

 

Performance measures

Networks

rank-1

T

M

ResNet50

76.01

6.32

23.48

ResNet34

73.27

6.67

21.28

ResNet18

69.64

3.09

11.12

L1

71.85

2.96

11.90

Taylor

71.65

3.21

12.09

Auto-Balanced

71.97

2.96

11.90

Entropy

71.46

2.96

11.90

PSFP

71.57

2.96

11.90