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沈阳自动化研究所 [5]
大连理工大学 [3]
自动化研究所 [3]
深海科学与工程研究所 [3]
北京航空航天大学 [2]
山东大学 [2]
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期刊论文 [15]
会议论文 [6]
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2022 [3]
2021 [2]
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Vision-based underwater target real time detection for autonomous underwater vehicle subsea exploration
期刊论文
Frontiers in Marine Science, 2025, 卷号: 10, 期号: 1, 页码: 1-12
作者:
Xu GF(徐高飞)
;
Zhou DX(周道先)
;
Yuan LB(袁立标)
;
Guo W(郭威)
;
Huang ZP(黄泽鹏)
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/12/16
autonomous underwater vehicle
subsea exploration
real time target detection
light weight convolutional neural network
underwater image enhancement
Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 708-722
作者:
Hongmin Liu
;
Qi Zhang
;
Yufan Hu
;
Hui Zeng
;
Bin Fan
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/19
Multi-expert learning
underwater image enhancement
unsupervised learning
Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 6, 页码: 2561-2576
作者:
Li, Kunqian
;
Wu, Li
;
Qi, Qi
;
Liu, Wenjie
;
Gao, Xiang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Training
Image enhancement
Visualization
Task analysis
Generators
Deep learning
Oceans
Underwater image enhancement
deep learning
convolutional neural network
comparative learning
blind image quality assessment
Vision-based underwater target real-time detection for autonomous underwater vehicle subsea exploration
期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 12
作者:
Xu, Gaofei
;
Zhou, Daoxian
;
Yuan, Libiao
;
Guo, Wei
;
Huang, Zepeng
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/10/07
autonomous underwater vehicle
subsea exploration
real-time target detection
lightweight convolutional neural network
underwater image enhancement
Adaptive learning attention network for underwater image enhancement
期刊论文
IEEE Robotics and Automation Letters, 2022, 卷号: 7, 期号: 2, 页码: 5326-5333
作者:
Liu SB(刘世本)
;
Fan HJ(范慧杰)
;
Lin S(林森)
;
Wang Q(王强)
;
Ding ND(丁乃达)
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/03/31
Attention mechanism
computer vision for automation
deep learning methods
underwater image enhancement
An Overview of Underwater Vision Enhancement: From Traditional Methods to Recent Deep Learning
期刊论文
Journal of Marine Science and Engineering, 2022, 卷号: 10, 期号: 2, 页码: 1-35
作者:
Hu, Kai
;
Weng, Chenghang
;
Zhang, Yanwen
;
Jin, Junlan
;
Xia, Qingfeng
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/03/07
Deep learning
Underwater vision
Video/image enhancement
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6816-6830
作者:
Qi, Qi
;
Li, Kunqian
;
Zheng, Haiyong
;
Gao, Xiang
;
Hou, Guojia
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2022/11/28
Semantics
Image enhancement
Task analysis
Feature extraction
Training
Degradation
Visualization
Underwater image enhancement
deep learning
semantic guidance
attention mechanism
SUIM-E dataset
Underwater Image Enhancement via Physical-Feedback Adversarial Transfer Learning
期刊论文
IEEE JOURNAL OF OCEANIC ENGINEERING, 2021, 页码: 12
作者:
Zhou, Yuan
;
Yan, Kangming
;
Li, Xiaofeng
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/02/18
Degradation
Adaptation models
Image restoration
Image color analysis
Image enhancement
Convolutional neural networks
Data models
Degradation model
domain adaptation
generative adversarial networks
underwater image enhancement
BA-GAN: Block Attention GAN model for Underwater Image Enhancement
会议论文
Beijing, China, October 15-17, 2021
作者:
Wang Y(王悦)
;
Fan HJ(范慧杰)
;
Liu SB(刘世本)
;
Liu JX(刘佳鑫)
;
Li, Sun
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2022/02/19
Generative Adversarial Networks
underwater color image enhancement
Channel and Spatial Attentions
Enhanced image no-reference quality assessment based on colour space distribution
期刊论文
IET IMAGE PROCESSING, 2020, 卷号: 14, 期号: 5, 页码: 807-817
作者:
Liu Hao
;
Li Ce
;
Zhang Dong
;
Zhou Yannan
;
Du Shaoyi
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/06/16
feature extraction
image enhancement
image colour analysis
image resolution
reference image
enhanced image quality
grey-scale image quality
low-light images
no-reference quality assessment
colour space distribution
NR image quality assessment model
clear target image
hypothetical reference images
input images
X-ray images
underwater images
dust images
FSIM
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