基于改进RT-DETR的水下色偏环境中小型生物检测
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董绍江,肖涛,吕振鸣,夏浩然,罗家元,孙世政,张霞,刘超
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Small organism detection in underwater color-cast environments based on improved RT-DETR
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Shaojiang DONG,Tao XIAO,Zhenming LV,Haoran XIA,Jiayuan LUO,Shizheng SUN,Xia ZHANG,Chao LIU
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| 表 5 FES-DETR与主流目标检测算法的对比实验结果 |
| Tab.5 Results of comparative experiment of FES-DETR and mainstream object detection algorithms |
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| 模型 | P/% | R/% | mAP@0.5/% | mAP@0.5꞉0.95/% | Np/M | FLOPs/G | FPS/(帧·s−1) | | Faster R-CNN | 75.8 | 70.4 | 73.1 | 57.2 | 41.1 | 126.7 | 46.5 | | YOLOv5s | 81.0 | 71.2 | 77.6 | 61.5 | 10.1 | 23.2 | 123.7 | | YOLOv8n | 83.7 | 72.6 | 79.3 | 61.7 | 7.9 | 17.6 | 128.4 | | YOLOv9t | 84.5 | 73.1 | 80.4 | 62.1 | 9.8 | 20.3 | 97.2 | | YOLOv10n | 84.7 | 73.5 | 82.3 | 62.8 | 7.7 | 18.4 | 133.4 | | YOLOv11n | 85.2 | 75.2 | 82.7 | 63.4 | 9.4 | 19.1 | 148.2 | | Deformable-DETR | 84.2 | 73.8 | 81.7 | 62.3 | 40.6 | 88.2 | 68.6 | | RT-DETR-r50 | 85.3 | 75.3 | 82.9 | 63.6 | 41.9 | 130.8 | 63.7 | | RT-DETR-r34 | 84.4 | 74.1 | 82.2 | 62.7 | 31.1 | 74.5 | 82.3 | | RT-DETR-r18 | 84.8 | 74.9 | 82.4 | 63.2 | 20.8 | 56.9 | 85.5 | | FES-DETR | 87.4 | 77.2 | 85.6 | 65.3 | 17.8 | 48.4 | 95.7 |
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