Table 5 Comparisons with state-of-the-art methods on submarine garbage test set.

From: Full stage networks with auxiliary focal loss and multi-attention module for submarine garbage object detection

Method

Backbone

Mask

Can

Cellphone

Electronics

Gbottle

Glove

Metal

Misc

Net

Pbag

Pbottle

Plastic

Rod

Sunglasses

Tire

mAP (%)

Two-stage

 Cascade RCNN20

ResNet101

48.3

25.9

79.9

42.5

41.9

59.1

22.5

34.2

60.4

77.5

41.4

25.6

11.9

50.0

29.2

43.4

 Faster RCNN15

ResNet50

63.2

23.3

74.3

36.5

33.4

76.6

10.2

33.0

53.2

73.3

38.8

16.7

12.2

6.1

28.1

38.6

 Faster RCNN15

ResNet101

33.4

30.3

77.8

28.6

38.8

55.6

7.0

23.0

54.6

75.6

39.5

16.5

6.2

4.0

29.7

34.7

One-stage

 YOLOV5-s33

CSPDarkNet

65.9

28.4

84.5

43.5

48.6

72.7

17.4

37.9

65.7

81.0

47.1

29.7

23.1

47.8

33.4

48.4

 YOLOV5-m33

CSPDarkNet

63.8

34.5

85.4

45.0

52.2

71.6

18.7

32.4

66.6

81.8

49.0

27.2

27.0

44.1

33.3

48.8

 YOLOV5-l33

CSPDarkNet

66.0

29.0

86.3

45.4

52.6

70.2

14.2

36.8

63.3

82.5

48.9

28.7

25.7

58.1

34.1

49.5

 YOLOV5-x33

CSPDarkNet

63.8

25.5

87.8

43.8

54.5

70.3

18.4

34.9

64.9

83.5

49.3

28.0

22.7

53.4

31.5

48.8

 PicoDet-s42

LCNet

57.9

36.7

84.6

42.0

48.1

75.1

14.0

33.6

61.6

80.0

43.4

24.0

12.8

54.9

31.7

46.7

 PicoDet-m42

LCNet

59.4

26.8

83.0

43.1

48.6

78.8

16.2

32.2

62.8

78.3

42.1

22.4

20.0

45.5

28.8

45.9

 PicoDet-l42

LCNet

64.1

28.7

83.3

41.4

47.1

77.4

11.2

35.2

63.5

79.5

44.0

22.8

13.9

45.5

30.6

45.9

 PicoDet-xs42

LCNet

51.8

26.6

82.1

40.1

48.4

73.6

16.3

31.5

63.2

75.9

41.0

17.0

9.3

56.2

31.1

44.3

 TOOD43

ResNet

31.7

28.9

82.4

40.1

47.0

57.2

20.1

35.3

60.8

74.7

38.7

17.6

15.6

56.6

25.7

42.2

 PP-YOLOE -s45

CSPResNet

67.9

35.8

86.6

47.6

55.6

79.7

18.6

38.5

66

82

47.4

24.5

22.3

62.2

35.2

51.3

 PP-YOLOE -m45

CSPResNet

69.0

38.8

84.5

49.4

54.6

81.0

19.2

38.0

66.4

81.7

48.0

25.5

22.0

66.6

35.1

52.0

 PP-YOLOE -l45

CSPResNet

68.6

41.5

85.6

47.7

53.8

80.8

20.1

32.0

65.6

83.2

48.8

25.9

17.9

64.0

35.2

51.4

 PP-YOLOE -x45

CSPResNet

63.9

41.4

86.7

51.4

58.1

78.7

23.4

37.3

66.5

82.7

49.8

26.4

19.0

60.5

33.9

52.0

 RTMDet-s44

CSPNeXt

53.9

39.7

85.8

43.4

56.9

67.6

22.9

35.1

60.7

82.2

49.3

23.5

21.3

56.6

34.2

48.9

 RTMDet-m44

CSPNeXt

52.9

30.3

82.6

42.0

53.5

68.1

20.3

28.5

59.8

80.8

47.4

25.5

16.0

55.1

32.6

46.3

 RTMDet-l44

CSPNeXt

61.9

39.9

82.7

43.6

52.6

69.1

19.8

30.6

56.1

80.6

47.3

24.8

19.3

70.0

32.5

48.7

 RTMDet-x44

CSPNeXt

64.8

42.7

82.7

45.8

56.0

66.7

20.1

38.6

62.7

82.7

47.3

26.8

23.0

63.4

33.4

50.4

 YOLOX-s39

CSPDarkNet

46.5

26.6

79.1

31.0

41.9

69.4

11.6

23.9

48.9

73.8

42.9

17.1

11.7

50.0

31.9

40.4

 YOLOX-m39

CSPDarkNet

48.4

28.9

82.1

36.3

44.5

70.2

13.4

26.7

51.3

77.6

44.8

20.2

13.3

51.1

30.8

42.6

 YOLOX-l39

CSPDarkNet

49.9

32.1

81.9

39.4

48.8

66.5

17.8

29.9

52.9

80.8

44.6

25.2

17.5

50.1

32.6

44.7

 YOLOX-x39

CSPDarkNet

50.9

33.3

83.6

41.7

49.7

64.0

18.6

36.7

58.8

81.1

49.1

25.4

20.3

53.4

34.6

46.7

 YOLOv740

ELAN

73.2

38.1

86.6

45.7

60.5

79.2

16.2

36.4

65.8

85.7

50.8

22.1

27.0

53.2

31.9

51.5

 YOLOv7x40

ELAN

72.8

35.0

86.9

46.8

58.5

77.5

20.1

39.0

67.0

86.0

50.2

25.5

29.8

54.3

32.1

52.1

 YOLOv7-w640

ELAN

72.9

37.0

85.0

50.4

61.5

82.1

17.5

38.8

67.7

84.5

51.6

28.2

26.8

44.3

33.8

52.1

 YOLOv7-e640

ELAN

64.6

30.7

84.8

47.2

55.5

74.7

18.1

44.8

61.0

82.9

48.3

25.8

19.2

54.2

34.6

49.8

 YOLOv7-d640

ELAN

67.9

31.2

83.7

43.9

54.1

78.7

17.6

41.6

60.3

81.7

46.2

22.8

13.3

53.2

33.3

48.6

 YOLOv7-e6e40

ELAN

66.5

29.2

83.3

42.5

50.3

77.7

14.6

38.6

58.5

79.6

45.1

26.3

22.6

48.7

32.2

47.7

 YOLOv8-n41

CSPDarkNet

65.9

36.0

86.3

46.6

56.8

75.2

17.0

41.6

67.8

85.9

48.2

30.5

23.3

66.8

34.4

52.2

 YOLOv8-s41

CSPDarkNet

71.2

37.5

87.6

44.6

57.5

77.6

18.4

37.3

70.7

85.2

49.9

31.1

31.9

55.5

33.9

52.7

 YOLOv8-m41

CSPDarkNet

76.3

34.9

88.0

52.7

60.7

79.4

22.9

40.6

70.7

86.4

50.8

28.9

25.3

51.2

30.8

53.3

 YOLOv8-l41

CSPDarkNet

72.7

35.3

89.3

49.7

59.9

76.8

15.9

38.4

68.8

85.0

50.6

28.9

29.0

57.0

31.6

52.6

 YOLOv8-x41

CSPDarkNet

74.3

38.2

89.3

46.0

58.7

78.8

21.9

41.0

71.5

87.1

51.1

28.3

30.3

55.4

31.2

53.5

 Proposed  Method

FS

71.5

35.9

86.1

48.6

60.1

77.4

22.0

40.0

66.6

86.9

50.9

30.1

23.8

54.8

33.1

52.5

 Proposed Method

FSS

75.2

40.1

87.8

52.9

61.9

83.0

23.1

44.7

69.1

87.1

52.3

30.7

30.2

60.2

34.1

55.5