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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
Authors:  Hongmin Liu;  Qi Zhang;  Yufan Hu;  Hui Zeng;  Bin Fan
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Multi-expert learning  underwater image enhancement  unsupervised learning  
Heterogeneous Image Knowledge Driven Visual Perception 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 255-257
Authors:  Lan Yan;  Wenbo Zheng;  Fei-Yue Wang
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面向水下开放环境的视觉目标检测方法研究 学位论文
, 2023
Authors:  武志亨
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水下视觉感知  水下图像合成  开放世界目标检测  迁移学习  
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
Authors:  Rui Jiang
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Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
Authors:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
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Density-Aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 7, 页码: 4552-4572
Authors:  Zhang, Chi;  Lin, Zihang;  Xu, Liheng;  Li, Zongliang;  Tang, Wei;  Liu, Yuehu;  Meng, Gaofeng;  Wang, Le;  Li, Li
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Feature extraction  Image synthesis  Scattering  Generative adversarial networks  Atmospheric modeling  Training  Testing  Haze synthesis  unsupervised image-to-image translation  self-supervised disentanglement  
基于异质图像知识的视觉感知方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  严岚
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异质图像  计算机视觉  深度学习  生成对抗网络  
ESI计算机科学领域热点论文(2022年3月) 其他
2022-03-24
Authors:  张桂英
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基于生成对抗网络的人脸图像增强方法研究 学位论文
, 中国科学院大学: 中国科学院大学, 2021
Authors:  窦昊
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人脸图像增强  生成对抗网络  近红外人脸图像增强  人脸超分辨  跨年龄人脸变换  
Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456
Authors:  Ai-Hua Zheng;  Zi-Han Chen;  Cheng-Long Li;  Jin Tang;  Bin Luo
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Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning