Advancing object recognition in visual blur conditions: a benchmark study-Reference-Cited by-同舟云学术

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Advancing object recognition in visual blur conditions: a benchmark study

Published:2023-12-05 Issue:06 Volume:32 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Yang Jiangang¹,Yang Jianfei²,Luo Luqing¹,Liao Wenjuan³,Wang Shizheng⁴,Liu Jian¹

Affiliation:

1. Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, China

2. Nanyang Technological University, School of Electrical and Electronics Engineering, Singapore

3. Australian National University, College of Engineering and Computer Science, Canberra, Australian Capital Territory, Australia

4. Chinese Academy of Sciences, R&D Center for Internet of Things, Wuxi, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference90 articles.

1. ImageNet classification with deep convolutional neural networks;Krizhevsky,2012

2. You Only Look Once: Unified, Real-Time Object Detection

3. Fully convolutional networks for semantic segmentation

4. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

5. Bridging the Gap Between Computational Photography and Visual Recognition

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