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Table 12 Comparing very-deep CNNs on FAU recognition (F1-score) [92]

From: Survey on deep learning with class imbalance

FAU class

Imbalance level

(A) Handcraft

(B) Plain34

(C) Res10

(D) Res18

(E) Res34

(F) Res50

AU1

2.5%

0.05

0.43

0.46

0.44

0.44

0.46

AU2

1.5%

0.00

0.42

0.44

0.45

0.45

0.46

AU4

1.1%

0.00

0.44

0.42

0.41

0.40

0.42

AU5

0.9%

0.00

0.42

0.41

0.42

0.40

0.46

AU6

3.6%

0.41

0.52

0.51

0.55

0.52

0.51

AU9

0.6%

0.00

0.41

0.36

0.38

0.40

0.44

AU12

45.7%

0.89

0.89

0.90

0.89

0.90

0.90

AU17

0.4%

0.00

0.19

0.20

0.26

0.27

0.24

AU20

0.01%

0.00

0.00

0.00

0.00

0.00

0.00

AU25

29.9%

0.79

0.85

0.86

0.86

0.86

0.85

AU26

25.6%

0.64

0.73

0.74

0.73

0.74

0.73

Average

–

0.29

0.48

0.48

0.49

0.49

0.50