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An OpenCL-Based FPGA Accelerator for Faster R-CNN

In recent years, convolutional neural network (CNN)-based object detection algorithms have made breakthroughs, and much of the research corresponds to hardware accelerator designs. Although many previous works have proposed efficient FPGA designs for one-stage detectors such as Yolo, there are still...

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Principais autores: Jianjing An, Dezheng Zhang, Ke Xu, Dong Wang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-09-01
Serier:Entropy
Fag:
convolutional neural network
Faster R-CNN
FPGA
hardware accelerator
Online adgang:https://www.mdpi.com/1099-4300/24/10/1346
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