机构

• 自动化研究所 [7]
• 西安光学精密机械研究... [3]
• 计算技术研究所 [2]
• 深圳先进技术研究院 [1]
• 地质与地球物理研究所 [1]

采集方式

• OAI收割 [14]

内容类型

• 期刊论文 [11]
• 会议论文 [3]

发表日期

• 2024 [2]
• 2023 [2]
• 2022 [3]
• 2020 [3]
• 2019 [2]
• 2018 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共14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   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   Uncertainty-Aware Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15896-15911 作者:  Chen, Mengyuan;  Gao, Junyu;  Xu, Changsheng   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/03/26 Uncertainty  Background noise  Task analysis  Location awareness  Measurement uncertainty  Interference  Predictive models  Weakly-supervised temporal action localization  evidential deep learning  uncertainty estimation   Online Progressive Instance-Balanced Sampling for Weakly Supervised Vibration Damper Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14 作者:  Chen, Minghao;  Tian, Yunong;  Li, Zhishuo;  Li, En;  Liang, Zize   |  收藏  |  浏览/下载：2/0  |  提交时间：2023/11/17 Shock absorbers  Vibrations  Object detection  Proposals  Training  Sampling methods  Convolutional neural networks  Instance balance  multiple instance learning (MIL)  progressive sampling  vibration damper detection  weakly supervised object detection (WSOD)   Learning pseudo labels for semi-and-weakly supervised semantic segmentation 期刊论文  OAI收割 PATTERN RECOGNITION, 2022, 卷号: 132, 页码: 10 作者:  Wang, Yude;  Zhang, Jie;  Kan, Meina;  Shan, Shiguang   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/07/12 Semi -supervised  Weakly supervised  Semi -and -weakly supervised  Semantic segmentation  Pseudo label  Self-training   Dual-evidential learning for weakly-supervised temporal action localization 会议论文  OAI收割 Tel Aviv, Israel, 2022-10-23 作者:  Chen, Mengyuan;  Gao, Junyu;  Yang, Shicai;  Xu, Changsheng   |  收藏  |  浏览/下载：3/0  |  提交时间：2023/04/25 Graph Jigsaw Learning for Cartoon Face Recognition 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3961-3972 作者:  Li, Yong;  Lao, Lingjie;  Cui, Zhen;  Shan, Shiguang;  Yang, Jian   |  收藏  |  浏览/下载：10/0  |  提交时间：2022/12/07 Face recognition  Shape  Training  Image color analysis  Layout  Convolutional neural networks  Task analysis  Cartoon face recognition  jigsaw solving  graph convolutional network  self-supervised learning   APLNet: Attention-enhanced progressive learning network 期刊论文  OAI收割 NEUROCOMPUTING, 2020, 卷号: 371, 页码: 166-176 作者:  Zhang, Hui;  Kang, Danqing;  He, Haibo;  Wang, Fei-Yue   |  收藏  |  浏览/下载：40/0  |  提交时间：2020/03/30 Object detection  Progressive learning  Attention enhancement   Relational graph neural network for situation recognition 期刊论文  OAI收割 Pattern Recognition, 2020, 期号: 108, 页码: 107544 作者:  Jing Y(荆雅);  Wang JB(王君波);  Wang W(王威);  Wang L(王亮);  Tan TN(谭铁牛)   |  收藏  |  浏览/下载：9/0  |  提交时间：2021/06/07 Situation recognition  Relationship modeling  Graph neural network  Reinforcement learning   Progressive Object Transfer Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 986-1000 作者:  Chen, Hao;  Wang, Yali;  Wang, Guoyou;  Bai, Xiang;  Qiao, Yu   |  收藏  |  浏览/下载：41/0  |  提交时间：2020/03/30 Detectors  Object detection  Proposals  Task analysis  Benchmark testing  Deep learning  Labeling  Object detection  deep learning  transfer learning  weakly  semi-supervised detection  low-shot learning