中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
Deep Contrastive Multiview Network Embedding 会议论文
Proceedings of the 31st ACM International Conference on Information and Knowledge Management, New York, NY, USA, 2022-10-17
作者:  Mengqi Zhang;  Yanqiao Zhu;  Qiang Liu;  Shu Wu;  Liang Wang
Adobe PDF(1307Kb)  |  收藏  |  浏览/下载：141/40  |  提交时间：2023/07/03
Multiview clustering via nonnegative matrix factorization based on graph agreement 期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2022, 卷号: 31, 期号: 4, 页码: 18
作者:  Zhang, Chengfeng;  Fu, Wenjun;  Wang, Guanglong;  Shi, Lei;  Meng, Xiangzhu
收藏  |  浏览/下载：132/0  |  提交时间：2022/11/14
multiview clustering  nonnegative matrix factorization  graph mechanism  
Memory-Modulated Transformer Network for Heterogeneous Face Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2095-2109
作者:  Luo, Mandi;  Wu, Haoxue;  Huang, Huaibo;  He, Weizan;  He, Ran
Adobe PDF(4712Kb)  |  收藏  |  浏览/下载：379/131  |  提交时间：2022/07/25
Face recognition  Task analysis  Transformers  Encoding  Feature extraction  Image recognition  Memory modules  Heterogeneous face recognition  style transformer  memory network  
VAG: A Uniform Model for Cross-Modal Visual-Audio Mutual Generation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:  Hao, Wangli;  Guan, He;  Zhang, Zhaoxiang
Adobe PDF(37909Kb)  |  收藏  |  浏览/下载：234/0  |  提交时间：2022/06/10
Task analysis  Instruments  Visualization  Image reconstruction  Generators  Decoding  Generative adversarial networks  Cross modality  cross-modal generation  mutual generation  visual and audio  
Delving into the Effectiveness of Receptive Fields: Learning Scale-Transferrable Architectures for Practical Object Detection 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2022, 卷号: 130, 期号: 4, 页码: 970-989
作者:  Zhang, Zhaoxiang;  Pan, Cong;  Peng, Junran
Adobe PDF(1753Kb)  |  收藏  |  浏览/下载：224/6  |  提交时间：2022/06/06
Computer vision  Object detection  Effective receptive fields  Hardware acceleration