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    Journals >Opto-Electronic Engineering >Volume 51 >Issue 5 >Page 240051 > Article
    • Opto-Electronic Engineering
    • Vol. 51, Issue 5, 240051 (2024)
    Improved YOLOv7 algorithm for target detection in complex environments from UAV perspective
    Runmei Zhang1,2,3,4, Yufei Xiao1, Zhennan Jia1, Zhong Chen1,2..., Zihua Chen1,2, Bin Yuan1,2,3,4, Weiwei Cao4 and Weiwei Song3,*|Show fewer author(s)
    Author Affiliations
  • 1School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei, Anhui 230601, China
  • 2Key Laboratory of Intelligent Manufacturing of Construction Machinery, Hefei, Anhui 230601, China
  • 3Anhui Simulation Design and Modern Manufacturing Engineering Technology Research Center, Huangshan, Anhui 242700, China
  • 4Key Laboratory of Civil Aviation Flight Technology and Flight Safety, Guanghan, Sichuan 618300, China
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    DOI: 10.12086/oee.2024.240051 Cite this Article
    Runmei Zhang, Yufei Xiao, Zhennan Jia, Zhong Chen, Zihua Chen, Bin Yuan, Weiwei Cao, Weiwei Song. Improved YOLOv7 algorithm for target detection in complex environments from UAV perspective[J]. Opto-Electronic Engineering, 2024, 51(5): 240051 Copy Citation Text show less
    References

    [1] X Chen, D L Peng, Y Gu. Real-time object detection for UAV images based on improved YOLOv5s. Opto-Electron Eng, 49, 210372(2022).

    [2] S Yang, J Wang, L Hu et al. Research on occluded object detection by improved RetinaNet. Comput Eng Appl, 58, 209-214(2022).

    [3] W Zhan, C F Sun, M C Wang et al. An improved Yolov5 real-time detection method for small objects captured by UAV. Soft Comput, 26, 361-373(2022).

    [4] W Liu, K Quijano, M M Crawford. YOLOv5-tassel: detecting tassels in RGB UAV imagery with improved YOLOv5 based on transfer learning. IEEE J Sel Top Appl Earth Obs Remote Sens, 15, 8085-8094(2022).

    [5] P Purkait, C Zhao, C Zach. SPP-Net: deep absolute pose regression with synthetic views(2017). https://doi.org/10.48550/arXiv.1712.03452

    [6] R Girshick. Fast R-CNN, 1440-1448(2015). https://doi.org/10.1109/ICCV.2015.169

    [7] J R R Uijlings, de Sande K E A van, T Gevers et al. Selective search for object recognition. Int J Comput Vis, 104, 154-171(2013).

    [8] S Q Ren, K M He, R Girshick et al. Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell, 39, 1137-1149(2017).

    [9] J Redmon, S Divvala, R Girshick et al. You only look once: unified, real-time object detection(2016). https://doi.org/10.1109/CVPR.2016.91

    [10] R H Yin, W Zhao, X D Fan et al. AF-SSD: an accurate and fast single shot detector for high spatial remote sensing imagery. Sensors, 20, 6530(2020).

    [11] X M Qi, R Chai, Y M Gao. Algorithm of reconstructed SPPCSPC and optimized downsampling for small object detection. Comput Eng Appl, 59, 158-166(2023).

    [12] J C Shang, J S Wang, S B Liu et al. Small target detection algorithm for UAV aerial photography based on improved YOLOv5s. Electronics, 12, 2434(2023).

    [13] C Y WANG, A BOCHKOVSKIY, H Y M LIAO. YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, 7464-7475(2023). https://doi.org/10.1109/CVPR52729.2023.00721

    [14] F Tang, F Yang, X Q Tian. Long-distance person detection based on YOLOv7. Electronics, 12, 1502(2023).

    [15] T Y Huang, M Cheng, Y L Yang et al. Tiny object detection based on YOLOv5, 45-50(2022). https://doi.org/10.1145/3512388.3512395

    [16] H Ismkhan. I-k-means-+: an iterative clustering algorithm based on an enhanced version of the k-means. Pattern Recognit, 79, 402-413(2018).

    [17] A Vaswani, N Shazeer, N Parmar et al. Attention is all you need, 6000-6010(2017). https://doi.org/10.5555/3295222.3295349

    [18] L X Yang, R Y Zhang, L D Li et al. SimAM: a simple, parameter-free attention module for convolutional neural networks, 11863-11874(2021).

    [19] T Y Lin, P Dollár, R Girshick et al. Feature pyramid networks for object detection, 936-944(2017). https://doi.org/10.1109/CVPR.2017.106

    [20] K Han, Y H Wang, Q Tian et al. GhostNet: more features from cheap operations, 1577-1586(2020). https://doi.org/10.1109/CVPR42600.2020.00165

    [21] N Bodla, B Singh, R Chellappa et al. Soft-NMS - improving object detection with one line of code, 5562-5570(2017). https://doi.org/10.1109/ICCV.2017.593

    [22] D W Du, P F Zhu, L Y Wen et al. VisDrone-DET2019: the vision meets drone object detection in image challenge results, 213-226(2019). https://doi.org/10.1109/ICCVW.2019.00030

    [23] W Liu, D Anguelov, D Erhan et al. SSD: single shot MultiBox detector, 21-37(2016). https://doi.org/10.1007/978-3-319-46448-0_2

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    Runmei Zhang, Yufei Xiao, Zhennan Jia, Zhong Chen, Zihua Chen, Bin Yuan, Weiwei Cao, Weiwei Song. Improved YOLOv7 algorithm for target detection in complex environments from UAV perspective[J]. Opto-Electronic Engineering, 2024, 51(5): 240051
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