机构

• 自动化研究所 [11]
• 西安光学精密机械研究... [4]
• 计算技术研究所 [3]
• 地理科学与资源研究所 [1]
• 成都山地灾害与环境研... [1]
• 沈阳自动化研究所 [1]
• 更多

采集方式

• OAI收割 [22]

内容类型

• 期刊论文 [20]
• 会议论文 [1]
• 学位论文 [1]

发表日期

• 2025 [1]
• 2024 [1]
• 2022 [5]
• 2021 [1]
• 2020 [5]
• 2019 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共22条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 An unsupervised bridge defect identification method based on multiscale masks and global awareness 期刊论文  OAI收割 CONSTRUCTION AND BUILDING MATERIALS, 2025, 卷号: 497, 页码: 143903 作者:  Wang, Yong;  He, Zhenglong;  Cen, Zongxi;  Zeng, Juncheng;  Cheng, Xinyi   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/11/17 Unsupervised deep learning  Bridge defects  Image segmentation  Multiscale masks  Global awareness   Prototype learning for adversarial domain adaptation 期刊论文  OAI收割 PATTERN RECOGNITION, 2024, 卷号: 155, 页码: 12 作者:  Fang, Yuchun;  Chen, Chen;  Zhang, Wei;  Wu, Jiahua;  Zhang, Zhaoxiang   |  收藏  |  浏览/下载：68/0  |  提交时间：2024/09/09 Domain adaptation  Transfer learning  Unsupervised learning  Deep learning   A New Unsupervised Deep Learning Algorithm for Fine-Grained Detection of Driver Distraction 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022 作者:  Li, Bing;  Chen, Jie;  Huang, Zhixiang;  Wang, Haitao;  Lv, Jianming   |  收藏  |  浏览/下载：84/0  |  提交时间：2022/12/23 Vehicles  Accidents  Feature extraction  Deep learning  Data models  Convolutional neural networks  Computational modeling  Unsupervised deep learning  driver distraction  fine-grained  comparative learning  stop-gradient  multilayer perceptron   MFFENet and ADANet: a robust deep transfer learning method and its application in high precision and fast cross-scene recognition of earthquake-induced landslides 期刊论文  OAI收割 LANDSLIDES, 2022, 页码: 31 作者:  Xu, Qingsong;  Ouyang, Chaojun;  Jiang, Tianhai;  Yuan, Xin;  Fan, Xuanmei   |  收藏  |  浏览/下载：99/0  |  提交时间：2022/05/23 Earthquake-induced landslide recognition  Deep learning  Unsupervised domain adaptation  Multi-scale Feature Fusion with Encoder-decoder Network (MFFENet)  Adversarial Domain Adaptation Network (ADANet)  Landslide spatial analysis   Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 21 作者:  Tao, Xian;  Gong, Xinyi;  Zhang, Xin;  Yan, Shaohua;  Adak, Chandranath   |  收藏  |  浏览/下载：84/0  |  提交时间：2022/09/19 Anomaly localization (AL)  deep learning  industrial inspection  literature survey  unsupervised learning   Towards collaborative appearance and semantic adaptation for medical image segmentation 期刊论文  OAI收割 Neurocomputing, 2022, 页码: 1-11 作者:  Wang Q(王强);  Du YK(杜英魁);  Fan HJ(范慧杰);  Ma, Chi   |  收藏  |  浏览/下载：64/0  |  提交时间：2022/02/04 Conditional Generative Adversarial Network  Deep Learning  Medical Image Segmentation  Unsupervised Domain Adaptation   Unsupervised Balanced Hash Codes Learning With Multichannel Feature Fusion 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 2816-2825 作者:  Chen, Yaxiong;  Zhao, Dongjie;  Lu, Xiongbo;  Xiong, Shengwu;  Wang, Huangting   |  收藏  |  浏览/下载：62/0  |  提交时间：2022/05/07 Feature extraction  Codes  Data mining  Convolution  Linear programming  Approximation algorithms  Semantics  Deep hash codes  multichannel feature fusion  multiscale context information  unsupervised hashing learning   Automatic Unsupervised Fabric Defect Detection Based on Self-Feature Comparison 期刊论文  OAI收割 ELECTRONICS, 2021, 卷号: 10, 期号: 21, 页码: 14 作者:  Peng, Zhengrui;  Gong, Xinyi;  Wei, Bengang;  Xu, Xiangyi;  Meng, Shixiong   |  收藏  |  浏览/下载：58/0  |  提交时间：2021/12/28 fabric defect  unsupervised learning  computer vision  deep learning   Deep Self-Evolution Clustering 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823 作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong   |  收藏  |  浏览/下载：69/0  |  提交时间：2020/06/02 Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning   Robust spike-and-slab deep Boltzmann machines for face denoising 期刊论文  OAI收割 NEURAL COMPUTING & APPLICATIONS, 2020, 卷号: 32, 期号: 7, 页码: 2815-2827 作者:  Zhang, Nan;  Ding, Shifei;  Zhang, Jian;  Zhao, Xingyu   |  收藏  |  浏览/下载：40/0  |  提交时间：2020/12/10 Restricted Boltzmann machine  Deep Boltzmann machine  Unsupervised learning  Denoising