FPGA Hardware Implementation of the Yolo Subclass Convolutional Neural Network Model in Computer Vision Systems-Reference-Cited by-同舟云学术

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FPGA Hardware Implementation of the Yolo Subclass Convolutional Neural Network Model in Computer Vision Systems

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:2022 International Siberian Conference on Control and Communications (SIBCON)
language:
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Author:

Markov Nikolay G.¹,Zoev Ivan V.²,Mytsko Evgeniy A.¹

Affiliation:

1. Tomsk Polytechnic University,Dept.Information Tecnologies,Tomsk,Russian Federation

2. JSC «Infotecs»,Tomsk,Russian Federation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10002870/10002871/10003015.pdf?arnumber=10003015

Reference10 articles.

1. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results;everingham,0

2. Convolutional neural networks of the YOLO class in computer vision systems for mobile robotic complexes

3. Going deeper with convolutions

4. A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection

5. YOLO9000: Better, Faster, Stronger

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