Table 4 The performance results of different training schemes.

From: A novel code generator for graphical user interfaces

Method

Training scheme

Precision

Recall

F1-score

Faster RCNN

Non-text elements

43.72

46.96

45.28

Non-text elements (mixed training)

36.53

44.37

40.07

Text elements (mixed training)

26.45

23.93

25.13

All elements (mixed training)

35.33

37.42

36.34

FCOS

Non-text elements

46.45

49.02

47.70

Non-text elements (mixed training)

32.71

45.39

38.02

Text elements (mixed training)

42.64

39.7

41.12

All elements (mixed training)

41.46

48.71

44.79

YOLOv4

Non-text elements

49.57

52.81

51.14

Non-text elements (mixed training)

38.99

48.23

43.12

Text elements (mixed training)

32.92

31.43

32.16

All elements (mixed training)

39.77

48.83

43.84