Adversarial learning-based method for recognition of bionic and highly contextual underwater targets-Reference-Cited by-同舟云学术

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Adversarial learning-based method for recognition of bionic and highly contextual underwater targets

Published:2023-04-04 Issue:02 Volume:32 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Xu Tao¹,Zhao Weishuo²,Meng Xiaoyan³,Ma Yukun¹,Zhou Jiyong⁴

Affiliation:

1. Henan Institute of Science and Technology, School of Artificial Intelligence, Xinxiang, China

2. Henan Institute of Science and Technology, School of Information Engineering, Xinxiang, China

3. The 15th Research Institute of China Electronics Technology Group Corporation, Beijing, China

4. Beijing University of Technology, Faculty of Information Technology, Beijing, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

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

Cited by 3 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. Reparameterized underwater object detection network improved by cone-rod cell module and WIOU loss;Complex & Intelligent Systems;2024-07-08

2. Aerial tracking of camouflaged people in woodlands;Journal of Electronic Imaging;2023-11-28

3. GCT-VAE-GAN: An Image Enhancement Network for Low-Light Cattle Farm Scenes by Integrating Fusion Gate Transformation Mechanism and Variational Autoencoder GAN;IEEE Access;2023

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