边缘感知和跨尺度特征增强的小目标水漂垃圾检测
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吴佰靖,闫光辉,马龙,程文鑫,黄亚宁
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Small-target water-floating garbage detection based on edge perception and cross-scale feature enhancement
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Baijing WU,Guanghui YAN,Long MA,Wenxin CHENG,Yaning HUANG
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| 表 4 不同方法的水漂垃圾检测实验结果对比 |
| Tab.4 Comparison of water-floating garbage detection experiment using different methods |
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| 数据集 | 方法 | mAP/% | mmAP/% | R/% | Para/M | FLOPs/G | FPS/(帧·s−1) | | YRLW | YOLOv8m | 88.49 | 47.88 | 88.67 | 25.91 | 78.91 | 128.67 | | YOLOv11l | 89.38 | 48.19 | 85.91 | 25.37 | 86.88 | 111.24 | | YOLOv12l | 90.88 | 49.20 | 89.87 | 26.44 | 88.92 | 102.39 | | RT-DETR | 88.17 | 47.01 | 88.74 | 20.09 | 58.34 | 164.47 | | FFCA-YOLO | 90.52 | 47.86 | 90.39 | 7.12 | 51.19 | 185.41 | | SuperYOLO | 91.81 | 48.05 | 91.07 | 4.83 | 16.61 | 193.53 | | ECA-RTDETR | 93.10 | 49.47 | 91.92 | 18.15 | 60.01 | 157.70 | | FloW-Img | YOLOv8m | 85.42 | 38.91 | 80.45 | 25.91 | 78.91 | 128.67 | | YOLOv11l | 86.80 | 40.83 | 81.93 | 25.37 | 86.88 | 111.24 | | YOLOv12l | 86.94 | 41.17 | 82.59 | 26.44 | 88.92 | 102.39 | | RT-DETR | 83.87 | 40.24 | 81.05 | 20.09 | 58.34 | 164.47 | | FFCA-YOLO | 86.34 | 40.45 | 81.98 | 7.12 | 51.19 | 185.41 | | SuperYOLO | 86.79 | 40.97 | 82.77 | 4.83 | 16.61 | 193.53 | | ECA-RTDETR | 87.26 | 41.69 | 83.28 | 18.15 | 60.01 | 157.70 |
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