机构

• 自动化研究所 [11]
• 数学与系统科学研究院 [4]
• 地理科学与资源研究所 [3]
• 计算技术研究所 [3]
• 沈阳自动化研究所 [3]
• 地质与地球物理研究所 [1]
• 更多

采集方式

• OAI收割 [30]
• iSwitch采集 [1]

内容类型

• 期刊论文 [25]
• 会议论文 [6]

发表日期

• 2022 [1]
• 2021 [3]
• 2020 [3]
• 2019 [3]
• 2018 [2]
• 2017 [7]
• 更多

学科主题

• computer s... [1]

筛选

浏览/检索结果: 共31条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 MCFL: multi-label contrastive focal loss for deep imbalanced pedestrian attribute recognition 期刊论文  OAI收割 NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 15 作者:  Chen, Lin;  Song, Jingkuan;  Zhang, Xuerui;  Shang, Mingsheng   |  收藏  |  浏览/下载：39/0  |  提交时间：2022/08/22 Pedestrian attribute recognition  Multi-label contrastive loss  Deep convolutional neural network  Multi-label learning  Imbalanced learning   MU-GAN: Facial Attribute Editing Based on Multi-Attention Mechanism 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1614-1626 作者:  Ke Zhang;  Yukun Su;  Xiwang Guo;  Liang Qi;  Zhenbing Zhao   |  收藏  |  浏览/下载：29/0  |  提交时间：2021/09/03 Attention U-Net connection  encoder-decoder architecture  facial attribute editing  multi-attention mechanism   The Trust Evaluation and Anomaly Detection Model of Industrial Control Equipment Based on Multiservice and Multi-attribute 会议论文  OAI收割 Chengdu, China, December 10-13, 2021 作者:  Chen X(陈鑫);  Liu XD(刘贤达);  Jiang YH(蒋一恒);  Wang C(王晨)   |  收藏  |  浏览/下载：31/0  |  提交时间：2022/03/15 ICS  trust model  anomaly detection  multi-service  multi-attribute  support algorithm  vector similarity algorithm   Multi-attribute Grey Relational Similarity Measure Evaluation Method for Weapon System Performance Based on Entropy-weight 期刊论文  OAI收割 JOURNAL OF GREY SYSTEM, 2021, 卷号: 33, 期号: 2, 页码: 1-13 作者:  Yang, Wenguang;  Wu, Yunjie;  Wang, Shu   |  收藏  |  浏览/下载：24/0  |  提交时间：2022/04/02 Multi-attribute Decision Making  Grey Relational Similarity Measure  Entropy-weight  Evaluation  Weapon System  Rank Reversal   Proxy Task Learning for Cross-Domain Person Re-Identification 会议论文  OAI收割 London, United Kingdom, United Kingdom, 2020.7.6-10 作者:  Huang, Houjing;  Chen, Xiaotang;  Huang, Kaiqi   |  收藏  |  浏览/下载：30/0  |  提交时间：2021/01/25 Person Re-identification, Cross-domain, Multi-task, Human Parsing, Attribute Recognition   Multi-Task Deep Relative Attribute Learning for Visual Urban Perception 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 657-669 作者:  Min, Weiqing;  Mei, Shuhuan;  Liu, Linhu;  Wang, Yi;  Jiang, Shuqiang   |  收藏  |  浏览/下载：20/0  |  提交时间：2020/12/10 Visualization  Task analysis  Deep learning  Urban areas  Correlation  Computer vision  Predictive models  Visual urban perception  relative attribute  multi-task learning   Face Attribute Recognition with Multimodal Fusion 会议论文  OAI收割 Shenyang, China, November 20-22, 2020 作者:  Zhao M(赵明);  Liu C(刘畅);  Zheng ZY(郑泽宇);  Yao QF(么庆丰);  Yang N(杨楠)   |  收藏  |  浏览/下载：47/0  |  提交时间：2021/02/27 Face attribute recognition  Multimodal fusion  Graph neural network  Multi-task learning   Age estimation via attribute-region association 期刊论文  OAI收割 NEUROCOMPUTING, 2019, 卷号: 367, 页码: 346-356 作者:  Chen, Yiliang;  He, Shengfeng;  Tan, Zichang;  Han, Chu;  Han, Guoqiang   |  收藏  |  浏览/下载：93/0  |  提交时间：2019/12/16 Age estimation  Multi-task learning  Attribute-region association   Recurrent Prediction with Spatio-temporal Attention for Crowd Attribute Recognition 期刊论文  OAI收割 IEEE Transactions on Circuits and Systems for Video Technology, 2019, 期号: Early Access, 页码: 1 - 1 作者:  Li QZ(李乔哲);  Zhao X(赵鑫);  He R(赫然);  Huang KQ(黄凯奇);  He, Ran   |  收藏  |  浏览/下载：69/0  |  提交时间：2020/01/14 Crowd video understanding , Attribute recognition , Attention mechanism , Multi-label classification   A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 4, 页码: 1575-1590 作者:  Li, Dangwei;  Zhang, Zhang;  Chen, Xiaotang;  Huang, Kaiqi   |  收藏  |  浏览/下载：67/0  |  提交时间：2019/07/12 Pedestrian retrieval  person re-identification  pedestrian attribute recognition  multi-label learning