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CNN-G: convolutional neural network combined with graph for image segmentation with theoretical analysis
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 0, 期号: 0, 页码: 0
Authors:
Lu, Yi
;
Chen, Yaran
;
Zhao, Dongbin
;
Liu, Bao
;
Lai, Zhichao
;
Chen, Jianxin
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Adobe PDF(5636Kb)
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View/Download:31/1
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Submit date:2020/10/19
Graph neural network, image segmentation, self-attention, structure pattern learning.
Computational Intelligence in Remote Sensing Image Registration: A survey
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 1-17
Authors:
Yue Wu
;
Jun-Wei Liu
;
Chen-Zhuo Zhu
;
Zhuang-Fei Bai
;
Qi-Guang Miao
;
Wen-Ping Ma
;
Mao-Guo Gong
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Adobe PDF(995Kb)
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View/Download:3/2
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Submit date:2021/02/23
Computational intelligence
evolutionary computation
neural network
deep learning
remote sensing image registration
Neighborhood-Aware Attention Network for Semi-supervised Face Recognition
会议论文
, Glasgow, UK, 2020-07-19
Authors:
Zhang, Qi
;
Lei, Zhen
;
Stan Z. Li
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View/Download:202/79
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Submit date:2020/06/12
自然场景文本检测与识别技术研究
学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:
盛芬芬
Adobe PDF(14633Kb)
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View/Download:152/12
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Submit date:2020/06/12
自然场景图像
文本检测
文本识别
端到端提取
深度学习
基于生成模型的人脸妆容分析
学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:
李祎
Adobe PDF(14427Kb)
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Submit date:2020/06/10
人脸图像合成
妆容分析
对抗学习
语义指导
解耦表示
基于深度学习的三维点云识别算法研究
学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:
林华
Adobe PDF(9641Kb)
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Submit date:2020/06/22
三维计算机视觉
深度学习
点云
形状上下文
几何模糊
旋转不变性
复合式机器人电力巡检与线路表观缺陷检测研究
学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:
边疆
Adobe PDF(26548Kb)
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Submit date:2020/06/07
高压架空输电线路巡检
无人机
悬挂巡线小车
巡检环境SLAM
图像质量评估
电力设备目标检测
表观缺陷检测
面向行人重识别的多视角机器学习模型与算法研究
学位论文
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:
张志忠
Adobe PDF(7131Kb)
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Submit date:2020/06/10
行人重识别
多视角机器学习
特征融合
度量学习
深度卷积神经网络
ESI工程学领域热点论文(2020年05月)
其他
2020-05-18
Authors:
张桂英
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Submit date:2020/07/15
Deep Self-Evolution Clustering
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
Authors:
Chang, Jianlong
;
Meng, Gaofeng
;
Wang, Lingfeng
;
Xiang, Shiming
;
Pan, Chunhong
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View/Download:40/5
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Submit date:2020/06/02
Task analysis
Unsupervised learning
Training
Clustering methods
Pattern analysis
Clustering
deep self-evolution clustering
self-evolution clustering training
deep unsupervised learning