基于系留无人机的应急测绘技术应用
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王永全, 李清泉, 汪驰升, 朱家松, 王新雨
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Tethered UAVs-based applications in emergency surveying and mapping
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Yongquan WANG, Qingquan LI, Chisheng WANG, Jiasong ZHU, Xinyu WANG
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表1 YOLO与其他算法处理COCO数据集的对比[14]
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Tab.1 Comparison of YOLO and other algorithms for processing COCO data sets
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算法 | 训练集 | 测试集 | 平均精 度均值/% | FLOPS | FPS | Cfg | Weights | SSD300 | COCO trainval | test-dev | 41.2 | - | 46 | | link | Tiny YOLO | COCO trainval | test-dev | 23.7 | 5.41 Bn | 244 | cfg | weights | DSSD321 | COCO trainval | test-dev | 46.1 | - | 12 | | link | R-FCN | COCO trainval | test-dev | 51.9 | - | 12 | | link | SSD513 | COCO trainval | test-dev | 50.4 | - | 8 | | link | DSSD513 | COCO trainval | test-dev | 53.3 | - | 6 | | link | FPN FRCN | COCO trainval | test-dev | 59.1 | - | 6 | | link | Retinanet-101-500 | COCO trainval | test-dev | 53.1 | - | 11 | | link | YOLOv3-320 | COCO trainval | test-dev | 51.5 | 38.97 Bn | 45 | cfg | weights | YOLOv3-tiny | COCO trainval | test-dev | 33.1 | 5.56 Bn | 220 | cfg | weights | YOLOv3-spp | COCO trainval | test-dev | 60.6 | 141.45 Bn | 20 | cfg | weights |
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