Electronics Optics & Control, Volume. 32, Issue 7, 27(2025)
Aerial Small Target Detection Based on Improved YOLOv8n Algorithm
[1] [1] CHEN Y P,LI Y,WANG G,et al. A Multi-strategy region proposal network[J]. Expert Systems with Applications,2018,113(C): 1-17.
[2] [2] GIRSHICK R,DONAHUE J,DARRELL T,et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Columbus: IEEE,2014: 580-587.
[3] [3] GIRSHICK R. Fast R-CNN[C]//Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV). Washington: IEEE,2015: 1440-1448.
[4] [4] REN S Q,HE K M,GIRSHICK R,et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,39(6): 1137-1149.
[5] [5] REDMON J,DIVVALA S,GIRSHICK R,et al. You only look once: unified,real-time object detection[C]//Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (ECCV). Las Vegas: IEEE,2016: 779-788.
[6] [6] 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.
[11] [11] WANG T Y,MA Z J,YANG T,et al. PETNet: a YOLO-based prior enhanced transformer network for aerial image detection[J]. Neurocomputing,2023,547: 126384.
[12] [12] LIAO L C,LUO L S,SU J Y,et al. Eagle-YOLO: an eagle-inspired YOLO for object detection in unmanned aerial vehicles scenarios[J]. Mathematics,2023,11(9): 2093.
[13] [13] DAI J F,QI H Z,XIONG Y W,et al. Deformable convolutional networks[C]//Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV). Venice: IEEE,2017: 764-773.
[14] [14] ZHU X Z,HU H,LIN S,et al. Deformable ConvNets V2: more deformable,better results[C]//Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach: IEEE,2019: 9300-9308.
[15] [15] DAI X Y,CHEN Y P,XIAO B,et al. Dynamic head: unifying object detection heads with attentions[C]//Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Nashville: IEEE,2021: 7373-7382.
[16] [16] CAO Y,XU J R,LIN S,et al. GCNet: non-local networks meet squeeze-excitation networks and beyond[C]//Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision (ICCV). Seoul: IEEE,2019: 1971-1980.
[17] [17] HU J,SHEN L,SUN G. Squeeze-and-excitation networks[C]//Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City: IEEE,2018: 7132-7141.
[18] [18] WANG X L,GIRSHICK R,GUPTA A,et al. Non-local neural networks[C]//Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Salt Lake City: IEEE,2018: 7794-7803.
Get Citation
Copy Citation Text
YANG Zhineng, ZHONG Xiaoyong, LI Huayao, CHEN Zeshi. Aerial Small Target Detection Based on Improved YOLOv8n Algorithm[J]. Electronics Optics & Control, 2025, 32(7): 27
Category:
Received: May. 20, 2024
Accepted: Jul. 11, 2025
Published Online: Jul. 11, 2025
The Author Email: