机构

• 自动化研究所 [163]
• 计算技术研究所 [36]
• 西安光学精密机械研... [19]
• 地理科学与资源研究... [12]
• 沈阳自动化研究所 [7]
• 数学与系统科学研究院 [6]
• 更多

采集方式

• OAI收割 [273]

内容类型

• 期刊论文 [222]
• 学位论文 [28]
• 会议论文 [22]
• SCI/SSCI论文 [1]

发表日期

• 2024 [13]
• 2023 [45]
• 2022 [29]
• 2021 [33]
• 2020 [21]
• 2019 [10]
• 更多

学科主题

• computer s... [3]
• engineerin... [2]
• Chemistry,... [1]
• Computer S... [1]
• Engineerin... [1]
• Geochemist... [1]
• 更多

筛选

浏览/检索结果: 共273条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Interaction semantic segmentation network via progressive supervised learning 期刊论文  OAI收割 MACHINE VISION AND APPLICATIONS, 2024, 卷号: 35, 期号: 2 作者:  Zhao, Ruini;  Xie, Meilin;  Feng, Xubin;  Guo, Min;  Su, Xiuqin   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/03/15 Semantic segmentation  Boundary refinement  Progressive supervised learning  Information interaction   Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization 期刊论文  OAI收割 NEURAL NETWORKS, 2024, 卷号: 171, 页码: 186-199 作者:  Li, Jingwei;  Li, Yuan;  Tan, Jie;  Liu, Chengbao   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/03/26 Domain generalization  Semi-supervised learning  Active learning   EEG-FRM: a neural network based familiar and unfamiliar face EEG recognition method 期刊论文  OAI收割 COGNITIVE NEURODYNAMICS, 2024, 页码: 14 作者:  Chen, Chao;  Fan, Lingfeng;  Gao, Ying;  Qiu, Shuang;  Wei, Wei   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/03/27 Familiar/unfamiliar face recognition  Electroencephalogram (EEG)  Convolutional neural network  Attention module  Supervised contrastive learning   Discrimination of the degree of heavy metal pollution in corn leaves in mining areas based on semi-supervised learning 期刊论文  OAI收割 REMOTE SENSING LETTERS, 2024, 卷号: 15, 期号: 1, 页码: 10-23 作者:  He, Jiale;  Yang, Keming   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/01/22 Corn leaves  heavy metal pollution  hyperspectral  semi-supervised learning  discriminant model   A progressive framework combining unsupervised and optimized supervised learning for debris flow susceptibility assessment 期刊论文  OAI收割 CATENA, 2024, 卷号: 234, 页码: 16 作者:  Liu, Yongqiang;  Chen, Jianping;  Sun, Xiaohui;  Li, Yongchao;  Zhang, Yiwei   |  收藏  |  浏览/下载：14/0  |  提交时间：2023/12/27 Debris flow susceptibility  Watershed unit  Unsupervised learning  Supervised learning  Multi-source data   Audio Mixing Inversion via Embodied Self-supervised Learning 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 55-62 作者:  Haotian Zhou   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/01/25 Audio mixing inversion, intelligent audio mixing, self-supervised learning, audio signal processing, deep learning   Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 89-103 作者:  Chaojie Wu   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/01/25 Weakly supervised object localization, erasing method, deep learning, computer vision, art authentication and copyright protection   Multimodal Fusion of Brain Imaging Data: Methods and Applications 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152 作者:  Na Luo   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/01/25 Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders   Multi-Cue Guided Semi-Supervised Learning Toward Target Speaker Separation in Real Environments 期刊论文  OAI收割 IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2024, 卷号: 32, 页码: 151-163 作者:  Xu, Jiaming;  Cui, Jian;  Hao, Yunzhe;  Xu, Bo   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/02/22 Cocktail party problem  target speaker separation  multi-cue guided separation  semi-supervised learning   More than Lightening: A Self-supervised Low-light Image Enhancement Method Capable for Multiple Degradations 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 622-637 作者:  Han Xu;  Jiayi Ma;  Yixuan Yuan;  Hao Zhang;  Xin Tian   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/02/19 Color correction  low-light image enhancement  self-supervised learning