Table 6 Comparison of network necks.

From: YOLOv8-MCDE for lightweight detection of small instruments in complex backgrounds from inspection robots’ perspective

Backbone Network

Neck

P/%

R/%

mAP

FLOPs/G

Weight Size/MB

@0.5

@0.5–0.95

MobileNetV3

CCFM

93.00

90.47

90.63

77.32

15.2

13.5

MobileNetV3

RepGFPN

89.91

91.13

87.69

75.59

21.2

22.6

MobileNetV3

BiFPN

92.24

86.26

90.56

77.05

20.3

19.4

MobileNetV3

Slim-Neck

91.82

84.19

87.47

74.02

17.4

19.5

MobileNetV3

ASF-YOLO

92.63

88.76

89.84

76.82

21.8

21.6

MobileNetV3

HS-FPN

94.17

84.77

88.81

74.76

16.3

13.4