基于细节增强和跨尺度注意力融合的PCB缺陷检测算法
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刘春娟,包易航,吴小所,闫浩文,朱铁栓,赵浩然
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PCB defect detection algorithm based on detail enhancement and cross-scale attention fusion
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Chunjuan LIU,Yihang BAO,Xiaosuo WU,Haowen YAN,Tieshuan ZHU,Haoran ZHAO
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| 表 4 改进模块的消融实验结果 |
| Tab.4 Ablation results of improved modules |
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| 算法 | RCAFPN | HRCAM | WP | DEConv | WIoU | P/% | R/% | mAP50/% | mAP50-95/% | GFLOPs | RF/(帧·s−1) | | 基线 | — | — | — | — | — | 96.3 | 91.9 | 94.7 | 52.1 | 57.0 | 70.8 | | 2 | √ | — | — | — | — | 97.0 | 92.5 | 95.4 | 55.4 | 48.2 | 76.7 | | 3 | — | √ | — | — | — | 96.9 | 92.8 | 95.7 | 55.1 | 62.3 | 82.8 | | 4 | — | — | √ | — | — | 97.1 | 93.1 | 95.5 | 55.0 | 63.3 | 94.5 | | 5 | — | — | — | √ | — | 97.2 | 92.7 | 95.6 | 56.1 | 57.0 | 95.0 | | 6 | — | — | — | — | √ | 96.7 | 93.0 | 95.6 | 54.2 | 57.0 | 98.9 | | 7 | √ | √ | — | — | — | 97.1 | 92.7 | 96.2 | 55.9 | 55.3 | 76.9 | | 8 | √ | √ | √ | — | — | 96.7 | 92.8 | 96.1 | 56.6 | 61.6 | 84.3 | | 9 | √ | √ | √ | √ | — | 97.2 | 93.4 | 96.6 | 57.1 | 61.6 | 84.3 | | DCFA-DETR | √ | √ | √ | √ | √ | 97.8 | 94.3 | 97.0 | 57.3 | 61.6 | 84.4 |
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