INFRARED, Volume. 46, Issue 2, 49(2025)
Marine Infrared Target Detection Algorithm Based on Improved YOLOx-nano
[6] [6] Son Y J, Choi O. Image-based hand pose classification using faster R-CNN [C]. Jeju: 17th International Conference on Control, Automation and Systems (ICCAS), 2017.
[7] [7] Prathap B R, Kumar K P, Chowdary C R, et al. AI-Based Yolo V4 Intelligent Traffic Light Control System [J]. Journal of Automation, Mobile Robotics and Intelligent Systems, 2022, 16(4): 5361.
[8] [8] Redmon J, Farhadi A. YOLO9000: Better, Faster, Stronger [C]. Honolulu: 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017.
[9] [9] Adiono T, Ramadhan R M, Lin M C H. Fast and scalable multicore YOLOv3-tiny accelerator usinginput stationary systolic architecture [J]. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023, 31(11):17741787.
[13] [13] Song C Y, Zhang F, Li J S, et al. Detection of maize tassels for UAV remote sensing image with an improved YOLOX model [J]. Journal of Integrative Agriculture, 2023, 22(6): 16711683.
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ZHANG Jun, WEI Men, LV Lu. Marine Infrared Target Detection Algorithm Based on Improved YOLOx-nano[J]. INFRARED, 2025, 46(2): 49
Received: Sep. 24, 2024
Accepted: Mar. 13, 2025
Published Online: Mar. 13, 2025
The Author Email: ZHANG Jun (ZHANG_JUN@cumt.edu.cn)