Optics and Precision Engineering, Volume. 31, Issue 4, 543(2023)
Yolo v3-SPP real-time target detection system based on ZYNQ
[1] [1] 1唐悦, 吴戈, 朴燕. 改进的GDT-YOLOV3目标检测算法[J]. 液晶与显示, 2020, 35(8): 852-860. doi: 10.37188/yjyxs20203508.0852TANGY, WUG, PIAOY. Improved algorithm of GDT-YOLOV3 image target detection[J]. Chinese Journal of Liquid Crystals and Displays, 2020, 35(8): 852-860.(in Chinese). doi: 10.37188/yjyxs20203508.0852
[2] [2] 2范丽丽, 赵宏伟, 赵浩宇, 等. 基于深度卷积神经网络的目标检测研究综述[J]. 光学 精密工程, 2020, 28(5): 1152-1164.FANL L, ZHAOH W, ZHAOH Y, et al. Survey of target detection based on deep convolutional neural networks[J]. Opt. Precision Eng., 2020, 28(5): 1152-1164.(in Chinese)
[3] [3] 3鞠默然, 罗海波, 刘广琦, 等. 采用空间注意力机制的红外弱小目标检测网络[J]. 光学 精密工程, 2021, 29(4): 843-853. doi: 10.37188/OPE.20212904.0843JUM R, LUOH B, LIUG Q, et al. Infrared dim and small target detection network based on spatial attention mechanism[J]. Opt. Precision Eng., 2021, 29(4): 843-853.(in Chinese). doi: 10.37188/OPE.20212904.0843
[4] [4] 4王宸, 张秀峰, 刘超, 等. 改进YOLOv3的轮毂焊缝缺陷检测[J]. 光学 精密工程, 2021, 29(8): 1942-1954. doi: 10.37188/OPE.20212908.1942WANGCH, ZHANGX F, LIUCH, et al. Detection method of wheel hub weld defects based on the improved YOLOv3[J]. Opt. Precision Eng., 2021, 29(8): 1942-1954.(in Chinese). doi: 10.37188/OPE.20212908.1942
[5] G J WEI, Y Z HOU, Q M CUI et al. YOLO acceleration using FPGA architecture, 734-735(2019).
[6] H NAKAHARA, H YONEKAWA, T FUJII et al. A lightweight YOLOv2: a binarized CNN with A parallel support vector regression for an FPGA, 31-40(27).
[7] Z G LI, J T WANG. An improved algorithm for deep learning YOLO network based on Xilinx ZYNQ FPGA, 447-451(2020).
[8] D T NGUYEN, T N NGUYEN, H KIM et al. A high-throughput and power-efficient FPGA implementation of YOLO CNN for object detection. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 27, 1861-1873(2019).
[9] T ADIONO, A PUTRA, N SUTISNA et al. Low latency YOLOv3-tiny accelerator for low-cost FPGA using general matrix multiplication principle, 141890-141913(2021).
[10] J H YOU, Y K KIM. Implementation of compressed YOLOv3-tiny on FPGA-SoC, 1-4(2020).
[11] J REDMON, S DIVVALA, R GIRSHICK et al. You only look once: unified, real-time object detection, 779-788(2016).
[12] J REDMON, A FARHADI. YOLO9000: better, faster, stronger, 6517-6525(2017).
[15] H B ZHANG, J Q JIANG, Y H FU et al. Yolov3-tiny object detection SoC based on FPGA platform, 291-294(2021).
[16] S ZHANG, J CAO, Q ZHANG et al. An FPGA-based reconfigurable CNN accelerator for YOLO, 74-78(2020).
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Lili ZHANG, Zhen CHEN, Yuxuan LIU, Lele QU. Yolo v3-SPP real-time target detection system based on ZYNQ[J]. Optics and Precision Engineering, 2023, 31(4): 543
Category: Information Sciences
Received: Jun. 2, 2022
Accepted: --
Published Online: Mar. 7, 2023
The Author Email: CHEN Zhen (chenzhen_1996@qq.com)