Electronics Optics & Control, Volume. 32, Issue 5, 20(2025)
DD-YOLO, a Small Target Detection Algorithm for UAVs
[2] [2] LIU W, ANGUELOV D, ERHAN D, et al. SSD: single shot multibox detector[C]//European Conference on Computer Vision(ECCV). Cham: Springer, 2016: 21-37.
[3] [3] FU C Y, LIU W, RANGA A, et al. DSSD:deconvolutional single shot detector[EB/OL]. (2017-01-23)[2024-05-30]. https://doi.org/10.48550/arXiv.1701.06659.
[4] [4] LI Z X, YANG L, ZHOU F Q. FSSD: feature fusion single shot multibox detector[EB/OL]. (2024-02-23)[2024-05-30]. https://doi.org/10.48550/arXiv.1712.00960.
[5] [5] REDMON J, DIVVALA S K, GIRSHICK R B, et al. You only look once:unified, real-time object detection[C]// 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Las Vegas: IEEE, 2016: 779-788.
[6] [6] REDMON J, FARHADI A. YOLO9000:better, faster, stronger[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu: IEEE, 2017: 6517-6525.
[7] [7] REDMON J, FARHADI A. YOLOv3:an incremental improvement[EB/OL]. (2018-04-08)[2024-05-30]. https://doi.org/10.48550/arXiv.1804.02767.
[8] [8] BOCHKOVSKIY A, WANG C Y, LIAO H Y M. YOLOv4:optimal speed and accuracy of object detection[EB/OL]. (2020-04-23)[2024-05-30]. https://doi.org/10.48550/arXiv.2004.10934.
[9] [9] LI C Y, LI L L, JIANG H L, et al. YOLOv6: a single-stage object detection framework for industrial applications[EB/OL]. (2022-09-07)[2024-05-30]. https://doi.org/10.48550/arXiv.2209.02976.
[10] [10] WANG C Y, BOCHKOVSKIY A, LIAO H Y M. YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[C]//2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Vancouver: IEEE, 2023: 7464-7475.
[11] [11] GIRSHICK R B, DONAHUE J, DARRELL T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//2014 IEEE Conference on Computer Vision and Pattern Recognition(CVPR). Columbus: IEEE, 2014: 580-587.
[12] [12] GIRSHICK R B. Fast R-CNN[C]//2015 IEEE International Conference on Computer Vision (ICCV). Santiago: IEEE, 2015: 1440-1448.
[13] [13] REN S Q, HE K M, GIRSHICK R B, et al. Faster R-CNN:towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(6): 1137-1149.
[14] [14] HE K M, ZHANG X Y, REN S Q, et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1904-1916.
[16] [16] YANG Y Z. Drone-view object detection based on the improved YOLOv5[C]//2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA).Changchun: IEEE, 2022:612-617.
[19] [19] REIS D, KUPEC J, HONG J, et al. Real-time flying object detection with YOLOv8[EB/OL]. (2024-05-22)[2024-05-30]. https://doi.org/10.48550/arXiv.2305.09972.
[20] [20] LIN T Y, DOLLR P, GIRSHICK R B, et al.Feature pyramid networks for object detection[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu: IEEE, 2017:936-944.
[21] [21] LIU S, QI L, QIN H F, et al. Path aggregation network for instance segmentation[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). Salt Lake City: IEEE, 2018: 8759-8768.
[22] [22] HOWARD A G, ZHU M L, CHEN B, et al. MobileNets: efficient convolutional neural networks for mobile vision applications[EB/OL]. (2017-04-17)[2024-05-30]. https://doi.org/10.48550/arXiv.1704.04861.
[23] [23] DAI J F, QI H Z, XIONG Y W, et al. Deformable convolutional networks[C]//2017 IEEE International Conference on Computer Vision (ICCV). Venice: IEEE, 2017: 764-773.
[24] [24] HU J, SHEN L, SUN G. Squeeze-and-excitation networks[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). Salt Lake City: IEEE, 2018: 7132-7141.
[25] [25] VOITA E, TALBOT D, MOISEEV F, et al. Analyzing multi-head self-attention: specialized heads do the heavy lifting, the rest can be pruned[EB/OL]. (2019-06-07)[2024-05-30]. https://doi.org/10.48550/arXiv.1905.09418.
[26] [26] DU D W, ZHU P F, WEN L Y, et al. VisDrone-DET2019: the vision meets drone object detection in image challenge results[C]//2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). Seoul: IEEE, 2019:213-226.
[27] [27] DING J, XUE N, XIA G S, et al. Object detection in aerial images: a large-scale benchmark and challenges[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(11): 7778-7796.
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ZHANG Panfeng, CHEN Wenqiang, SHEN Xianhao, CHENG Xiaohui. DD-YOLO, a Small Target Detection Algorithm for UAVs[J]. Electronics Optics & Control, 2025, 32(5): 20
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Received: May. 31, 2024
Accepted: May. 13, 2025
Published Online: May. 13, 2025
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