找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Deep Biometrics; Richard Jiang,Chang-Tsun Li,Christophe Rosenberger Book 2020 Springer Nature Switzerland AG 2020 Deep Learned Biometric.C

[复制链接]
楼主: 叛乱分子
发表于 2025-3-25 03:57:43 | 显示全部楼层
发表于 2025-3-25 09:26:33 | 显示全部楼层
发表于 2025-3-25 13:04:07 | 显示全部楼层
Book 2020o highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emer
发表于 2025-3-25 18:27:49 | 显示全部楼层
发表于 2025-3-25 23:11:39 | 显示全部楼层
发表于 2025-3-26 00:13:55 | 显示全部楼层
发表于 2025-3-26 07:16:41 | 显示全部楼层
https://doi.org/10.1007/978-3-540-36693-5e attention of the network to image regions that are descriptive and important for representation purposes. The model is trained in an end-to-end manner using a combined cross-entropy and center loss. Extensive experiments on the recently introduced Extended Annotated Web Ears (AWEx).
发表于 2025-3-26 10:20:39 | 显示全部楼层
Anti-Spoofing in Face Recognition: Deep Learning and Image Quality Assessment-Based Approaches,ecture that combines a pre-trained CNN model and the local binary patterns (LBP) descriptor. Both approaches are extensively evaluated on different datasets. The obtained results outperformed state-of-the-art approaches. Moreover, our methods are well suited for real-time mobile applications and they are also privacy-compliant.
发表于 2025-3-26 12:53:41 | 显示全部楼层
发表于 2025-3-26 19:04:22 | 显示全部楼层
Constellation-Based Deep Ear Recognition,e attention of the network to image regions that are descriptive and important for representation purposes. The model is trained in an end-to-end manner using a combined cross-entropy and center loss. Extensive experiments on the recently introduced Extended Annotated Web Ears (AWEx).
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-7 16:18
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表