CASIA OpenIR

浏览/检索结果: 共4条,第1-4条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2497-2507
作者:  Ajian, Liu;  Chenxu, Zhao;  Zitong, Yu;  Jun, Wan;  Anyang, Su;  Xing, Liu;  Zichang, Tan;  Sergio, Escalera;  Junliang, Xing;  Yanyan, Liang;  Guodong, Guo;  Zhen, Lei;  Stan, Z., Li;  Du, Zhang
Adobe PDF(3455Kb)  |  收藏  |  浏览/下载:30/12  |  提交时间:2024/06/03
A Framework and Operational Procedures for Metaverses-Based Industrial Foundation Models 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 10
作者:  Wang, Jiangong;  Tian, Yonglin;  Wang, Yutong;  Yang, Jing;  Wang, Xingxia;  Wang, Sanjin;  Kwan, Oliver
Adobe PDF(3322Kb)  |  收藏  |  浏览/下载:164/51  |  提交时间:2023/02/22
Cyber-physical-social intelligence (CPSI)  cyber-physical-social systems (CPSSs)  industrial foundation models (IFMs)  intelligent enterprises  metaverses  operational processes  parallel intelligence  
Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:  Ouyang, Liwei;  Yuan, Yong;  Wang, Fei-Yue
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载:460/38  |  提交时间:2022/09/19
Collaboration  Artificial intelligence  Data models  Computational modeling  Smart contracts  Blockchain  Distributed databases  Artificial intelligence (AI) collaboration  blockchain  ensemble learning  federated learning (FL)  smart contracts  
Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3224-3235
作者:  Tan, Zichang;  Liu, Ajian;  Wan, Jun;  Liu, Hao;  Lei, Zhen;  Guo, Guodong;  Li, Stan Z.
Adobe PDF(10124Kb)  |  收藏  |  浏览/下载:275/1  |  提交时间:2022/07/25
Face recognition  Training  Measurement  Graphics processing units  Deep learning  Logic gates  Feature extraction  Face recognition  ID vs spot  deep learning  cross-batch hard example mining  pseudo large batch