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A Demonstration of FPGA-Based You Only Look Once Version2 (YOLOv2)
2018 28th International Conference on Field Programmable Logic and Applications (FPL), 2018We implement the YOLO (You only look once) object detector on an FPGA, which is faster and has higher accuracy. It is based on the convolutional deep neural network (CNN), and it is a dominant part of both the performance and the area. It is widely used in the embedded systems, such as robotics, autonomous driving, security, and drones, all of which ...
Hiroki Nakahara +2 more
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Design and Implementation of OpenCL-Based FPGA Accelerator for YOLOv2
2021 IEEE 21st International Conference on Communication Technology (ICCT), 2021Chenchen Cui +5 more
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PCB defect detection based on PP-YOLOv2
International Conference on Advanced Algorithms and Neural Networks (AANN 2022), 2022JIAN WANG, Yu Mei Zhang
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Optimization of intelligent guided vehicle vision navigation based on improved YOLOv2
Review of Scientific InstrumentsAddressing the challenge of limited accuracy and real-time performance in intelligent guided vehicle (IGV) image recognition and detection, typically reliant on traditional feature extraction approaches. This study delves into a visual navigation detection method using an improved You Only Look Once (YOLO) model–simplified YOLOv2 (SYOLOv2) to satisfy ...
Lei Hua, Xing Wu, Jinwang Gu
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An Eye Fatigue Recognition System using YOLOv2
2021 Innovations in Power and Advanced Computing Technologies (i-PACT), 2021Chuanhui Lau +3 more
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Defect Detection of Industrial Products Using YOLOv2
Proceedings of IIAE Annual Conference 2022, 2022openaire +1 more source
Yolov2 Implementation and Optimization for Moroccan Traffic Sign Detection
2023Imane Taouqi +3 more
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Detection of Spinal Fracture Lesions based on Improved Yolov2
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), 2020Gang Sha, Junsheng Wu, Bin Yu
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Development of Object Identification APP Based on YoloV2
2023Baiming Zhao +3 more
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Rehosting YOLOv2 Framework for Reconfigurable Fabric-based Acceleration
SoutheastCon 2022, 2022D. Crumley +6 more
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