Journal of Applied Optics, Volume. 46, Issue 3, 505(2025)
Small object detection algorithm of UAV for visible light images based on YOLO-SCAT
Figures & Tables(14)
Table 1. Comparison of overall performance between YOLO-SC, YOLO-AT, YOLO-SCAT and YOLOv7 on unmanned aerial vehicle datasets
View tableView in ArticleTable 1. Comparison of overall performance between YOLO-SC, YOLO-AT, YOLO-SCAT and YOLOv7 on unmanned aerial vehicle datasets
Model P/% R/% mAP@0.5/% mAP@0.5:0.95/% F1/% FPS Gflops YOLOv7 93.9 86.1 90.4 50.2 89.8 80.6 103.2 YOLO-SC 95.4 86.1 92.2 51.0 90.5 77.5 103.1 YOLO-AT（CBAM） 93.8 88.9 93.1 51.6 91.3 80.0 105.3 YOLO-SCAT 94.4 94.4 94.7 52.9 94.4 76.9 103.8
Table 2. Comparative experimental results of ELAN module improvement
View tableView in ArticleTable 2. Comparative experimental results of ELAN module improvement
Backbone P/% R/% mAP@0.5/% mAP@0.5:0.95/% F1/% FPS YOLOv7 93.9 86.1 90.4 50.2 89.8 80.6 a 92.6 87.5 90.7 46.4 90.0 79.4 b 92.6 87.4 91.3 47.8 89.9 78.7 c 96.9 87.4 90.9 49.8 94.1 78.1 d 95.4 86.1 92.2 51.0 90.5 77.5
Table 3. Introduction of attention mechanism experiment in original YOLOv7
% View tableView in ArticleTable 3. Introduction of attention mechanism experiment in original YOLOv7
% Attention P R mAP@0.5 Original 93.9 86.1 90.4 SE 92.9 90.3 93.0 ECA 85.7 91.7 92.4 EMA 91.8 93.0 93.0 CBAM 93.8 88.9 93.1
Table 4. Comparative experimental results of attention mechanism
% View tableView in ArticleTable 4. Comparative experimental results of attention mechanism
% Attention P R mAP@0.5 mAP@0.5:0.95 F1 SE 90.7 94.4 93.6 51.3 92.5 ECA 94.4 94.4 94.5 50.2 94.4 EMA 91.2 81.6 91.2 47.8 86.1 CBAM 94.4 94.4 94.7 52.9 94.4
Table 5. YOLO-SCAT generalization validation experiment
View tableView in ArticleTable 5. YOLO-SCAT generalization validation experiment
Model P/% R/% mAP@0.5/% F1/% FPS YOLOv7 92.3 72.7 90.9 81.3 80.6 YOLO-SCAT 93.9 93.9 95.0 93.9 76.9
Table 6. Comparative experimental results of YOLO-SCAT and mainstream target detection algorithms
View tableView in ArticleTable 6. Comparative experimental results of YOLO-SCAT and mainstream target detection algorithms
Model P/% R/% mAP@0.5/% F1/% FPS Faster-RCNN 28.8 73.9 54.4 41.0 18.2 SSD 86.9 67.8 70.8 76.1 43.8 YOLOX 86.7 66.1 70.9 75.0 40.7 YOLOv5 84.0 86.4 86.1 85.1 40.0 YOLOv7 93.9 86.1 90.4 89.8 80.6 Ours 94.4 94.4 94.7 94.4 76.9
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Haiyong CHEN, Boyang LIU, Xingwei YAN. Small object detection algorithm of UAV for visible light images based on YOLO-SCAT[J]. Journal of Applied Optics, 2025, 46(3): 505
Paper Information
Category: SPECIAL COLUMN ON UNMANNED INTELLIGENT SENSING TECHNOLOGY
Received: Jan. 29, 2024
Accepted: --
Published Online: May. 28, 2025
The Author Email: Xingwei YAN (晏行伟)
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