Nighttime Data Augmentation Using GAN for Improving Blind-Spot Detection-Reference-Cited by-同舟云学术

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Nighttime Data Augmentation Using GAN for Improving Blind-Spot Detection

Published:2020 Issue: Volume:8 Page:48049-48059
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lee Hongjun^ORCID,Ra Moonsoo^ORCID,Kim Whoi-Yul^ORCID

Funder

Korea Evaluation Institute of Industrial Technology

Ministry of Science, ICT and Future Planning

Korea Institute of Energy Technology Evaluation and Planning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09027878.pdf?arnumber=9027878

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Low-Brightness Object Recognition Based on Deep Learning;Computers, Materials & Continua;2024

2. Dual-Mode Serial Night Road Object Detection Model Based on Depthwise Separable and Self-Attention Mechanism;IEEE Transactions on Instrumentation and Measurement;2024

3. Edge based Blind Spot Avoidance and Speed Monitoring for Emergency Vehicles;Procedia Computer Science;2024

4. Fundus Image Generation using EyeGAN;Journal of Computers, Mechanical and Management;2023-12-31

5. An Effective Attention-based CNN Model for Fire Detection in Adverse Weather Conditions;ISPRS Journal of Photogrammetry and Remote Sensing;2023-12

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