Table 6 Comparison of network accuracy (mAP and rank-1) and complexity (memory: M (parameters) and time: T (GFLOPS)) with different pruning scenarios on all the person ReID datasets

L1

1

67.04

84.71

2.96

11.90

57.51

75.00

2.96

11.90

44.08

46.50

2.96

11.90

Taylor

66.35

84.44

3.21

12.09

57.90

75.72

3.21

12.09

44.40

46.21

3.21

12.09

Entropy

65.16

82.39

2.96

11.90

56.64

74.64

2.96

11.90

42.44

44.07

2.96

11.90

Auto-Balanced

65.46

83.64

2.96

11.90

56.45

74.64

2.96

11.90

41.85

44.21

2.96

11.90

PSFP

65.92

83.72

2.96

11.90

56.96

74.66

2.96

11.90

42.38

45.58

2.96

11.90

L1

2

49.18

70.67

2.09

8.95

40.91

61.67

2.09

8.95

26.29

27.36

2.09

8.95

Taylor

32.03

53.92

2.11

8.31

23.54

40.44

2.02

7.99

13.61

13.14

2.05

8.09

Entropy

7.38

17.31

2.09

8.95

2.34

6.78

2.09

8.95

7.83

7.29

2.09

8.95

Auto-Balanced

47.36

68.74

2.09

8.95

43.19

64.14

2.09

8.95

26.69

27.36

2.09

8.95

PSFP

65.03

80.85

2.09

8.95

53.05

73.20

2.09

8.95

42.19

43.86

2.09

8.95

L1

3

67.44

84.23

5.08

19.17

57.16

74.28

5.08

19.17

44.73

47.86

5.08

19.17

Taylor

63.29

81.38

5.28

19.60

44.14

63.33

4.98

18.53

36.91

38.86

4.96

18.46

Entropy

60.27

79.99

5.08

19.17

52.62

71.72

5.08

19.17

38.5

40.14

5.08

19.17

Auto-Balanced

67.49

84.26

5.08

19.17

58.14

75.27

5.08

19.17

46.54

48.07

5.08

19.17

PSFP

67.68

84.78

5.08

19.17

57.51

74.87

5.08

19.17

46.25

48.20

5.08

19.17

L1

4

31.41

55.70

5.08

19.17

27.94

48.79

5.08

19.17

14.97

16.07

5.08

19.17

Taylor

6.39

12.89

5.14

19.10

1.18

2.29

4.80

17.89

6.28

5.71

4.93

18.35

Entropy

25.41

46.35

5.08

19.17

21.08

41.16

5.08

19.17

11.31

11.64

5.08

19.17

Auto-Balanced

59.27

78.80

5.08

19.17

49.64

67.77

5.08

19.17

36.67

38.79

5.08

19.17

PSFP

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A