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自动化研究所 [9]
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期刊论文 [19]
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Integrating Backdating and Transfer Learning in an Object-Based Framework for High Resolution Image Classification and Change Analysis
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 1-11
作者:
Qian, Yuguo
;
Zhou, Weiqi
;
Yu, Wenjuan
;
Han, Lijian
;
Li, Weifeng
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/08/31
urban landscape
multi-temporal
change detection
land cover land use
remote sensing
urban ecology
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8246-8257
作者:
Mou, Lichao
;
Lu, Xiaoqiang
;
Li, Xuelong
;
Zhu, Xiao Xiang
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  |  
浏览/下载:52/0
  |  
提交时间:2020/12/21
Hyperspectral imaging
Convolution
Task analysis
Recurrent neural networks
Semisupervised learning
Support vector machines
Graph convolutional network (GCN)
hyperspectral image classification
nonlocal graph
semisupervised learning
A Two-Stage Triplet Network Training Framework for Image Retrieval
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 12, 页码: 3128-3138
作者:
Min, Weiqing
;
Mei, Shuhuan
;
Li, Zhuo
;
Jiang, Shuqiang
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  |  
浏览/下载:31/0
  |  
提交时间:2021/12/01
Image retrieval
Feature extraction
Convolution
Training
Image representation
Task analysis
Measurement
State Primitive Learning to Overcome Catastrophic Forgetting in Robotics
期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 9
作者:
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  |  
浏览/下载:19/0
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提交时间:2021/01/06
Catastrophic forgetting
State primitives
Robotics
Continual learning
SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4290-4302
作者:
Xie, Guo-Sen
;
Zhang, Zheng
;
Liu, Li
;
Zhu, Fan
;
Zhang, Xu-Yao
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  |  
浏览/下载:24/0
  |  
提交时间:2021/01/07
Training
Task analysis
Learning systems
Computational modeling
Optimization
Support vector machines
Principal component analysis
Feature learning
feature selection
least squares
subspace learning
Pushing and Bounding Loss for Training Deep Super-Resolution Network
会议论文
Beijing, China, October 30-31, 2020
作者:
Shang Li
;
Guixuan Zhang
;
Jie Liu
;
Shuwu Zhang
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  |  
浏览/下载:31/0
  |  
提交时间:2022/04/08
Rubik's Cube plus : A self-supervised feature learning framework for 3D medical image analysis
期刊论文
MEDICAL IMAGE ANALYSIS, 2020, 卷号: 64, 页码: 11
作者:
Zhu, Jiuwen
;
Li, Yuexiang
;
Hu, Yifan
;
Ma, Kai
;
Zhou, S. Kevin
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浏览/下载:13/0
  |  
提交时间:2020/12/10
Self-supervised learning
3D Medical imaging data
Rubik's cube recovery
CADN: A weakly supervised learning-based category-aware object detection network for surface defect detection
期刊论文
Pattern Recognition, 2020, 期号: 109, 页码: 1-9
作者:
Jiabin, Zhang
;
Hu, Su
;
Wei, Zou
;
Xinyi, Gong
;
Zhengtao, Zhang
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浏览/下载:21/0
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提交时间:2021/06/17
Weakly supervised learning
Automated surface inspection
Defect detection
Knowledge distillation
A new index to differentiate tree and grass based on high resolution image and object-based methods
期刊论文
URBAN FORESTRY & URBAN GREENING, 2020, 卷号: 53, 页码: 1-22
作者:
Qian, Yuguo
;
Zhou, Weiqi
;
Nytch, Christopher J.
;
Han, Lijian
;
Li, Zhiqiang
收藏
  |  
浏览/下载:10/0
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提交时间:2021/08/31
Index
Land cover classification
OBIA
High resolution image
Tree and grass
Digging into Pseudo Label: A Low-Budget Approach for Semi-Supervised Semantic Segmentation
期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 41830-41837
作者:
Chen, Zhenghao
;
Zhang, Rui
;
Zhang, Gang
;
Ma, Zhenhuan
;
Lei, Tao
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  |  
浏览/下载:24/0
  |  
提交时间:2021/05/11
Semantics
Image segmentation
Training
Semisupervised learning
Pipelines
Standards
Reliability
Sematic segmentation
semi-supervised learning
computer vision
deep learning
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