Improvement of GBS-YOLOv7t for steel surface defect detection

Table 1. Results of GAS-FPN ablation experiment
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Table 1. Results of GAS-FPN ablation experiment
A B mAP/% Params/M FLOPs/G FPS
69.2 7.11 14.1 106.38
√ 70.7 7.44 14.6 94.34
√ √ 71.9 6.56 13.2 111.11

Table 2. Comparison experiment of GAS-FPN
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Table 2. Comparison experiment of GAS-FPN
Model mAP/% Params/M FPS
PANet 68.7 6.02 108.12
AFPN 69.2 7.11 106.38
GAC-FPN 71.9 6.56 111.11

Table 3. Experimental results of BRA position
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Table 3. Experimental results of BRA position
Location mAP/% Params/M FPS
Baseline 68.7 6.02 108.69
Stage3 69.0 6.09 79.37
Stage4 69.9 6.20 104.17
Stage5 69.3 7.08 111.11

Table 4. BRA comparison experiments
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Table 4. BRA comparison experiments
Model mAP/% Params/M FLOPs/G
Baseline 68.7 6.02 13.1
SE 69.3 11.57 30.8
TA 68.9 6.02 13.2
CA 68.3 6.03 13.5
BRA (Ours) 69.9 6.20 13.2

Table 5. Results of ablation experiment
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Table 5. Results of ablation experiment
M1 M2 M3 mAP/% Params/M P/% R/%
68.7 6.02 61.4 72.7
√ 71.9 6.56 63.8 70.2
√ √ 72.5 6.56 65.3 73.5
√ √ √ 72.9 6.83 69.9 70.5

Table 6. Comparison of the experimental results

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Table 6. Comparison of the experimental results

Model	mAP/%	Params/M	FPS
Faster R-CNN	65.7	72.0	17.8
SSD	61.0	24.4	41.0
YOLOv3	67.0	61.5	31.5
YOLOv4	51.0	52.5	45.0
YOLOv5s	70.1	7.07	102.0
YOLOX-s	71.8	8.0	46.0
YOLOv7	70.0	37.2	36.1
YOLOv7-tiny	68.7	6.02	108.1
FCOS	68.8	43.2	12.0
RetinaNet	69.5	18.3	15.1
PC-YOLOv7^[13]	71.2	5.97	61.0
文献[22]	73.0	9.54	—
文献[23]	74.1	23.9	75
GBS-YOLOv7t	72.9	6.83	104.1

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Liming Liang, Pengwei Long, Baohe Lu, Renjie Li. Improvement of GBS-YOLOv7t for steel surface defect detection[J]. Opto-Electronic Engineering, 2024, 51(5): 240044

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