Table 4 Results on the NEU-DET dataset compared with SOTA defect detectors.

From: Dual-branch information extraction and local attention anchor-free network for defect detection

Method

Crazing

Inclusion

Patches

Pitted surface

Rolled in scale

Scratches

mAP (%)

EDDN5656

41.7

76.3

86.3

85.1

58.1

85.6

72.4

CABF-FCOS2626

55.4

75.0

93.5

88.9

62.9

84.4

76.7

kou's YOLOv35757

38.9

73.7

93.5

74.8

60.7

91.4

72.2

MSFT-YOLO5858

56.9

80.8

93.5

82.1

52.7

83.5

75.2

DEA_RetinaNet5959

60.9

82.5

94.3

95.8

67.2

74.1

79.1

SAPD60

60.9

82.5

93.3

87.4

42.9

97.8

73.2

MSC-Dnet11

42.4

84.5

94.3

91.5

71.6

92.0

79.4

DLA-FCOS (Ours)

56.7

89.5

91.2

83.7

65.9

83.2

78.4