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Updated: Jun 28, 2025

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
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Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

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面部反伪造与跨阶段关系增强和伪造材料感知

Daiyuan Li1, Guo Chen2, Xixian Wu3

  • 1South China University of Technology, Guangzhou, 510006, Guangdong, China; Pazhou Laboratory, Guangzhou, 510000, Guangdong, China; Key Laboratory of Big Data and Intelligent Robot, Ministry of Education, Guangzhou, 510000, Guangdong, China.

Neural networks : the official journal of the International Neural Network Society
|April 23, 2024
PubMed
概括

这项研究引入了一个新的CNN-Transformer框架,用于强大的面部防伪 (FAS). 该方法有效地整合了当地细节和全球背景,在基准数据集上取得了最先进的结果.

关键词:
数据集数据集数据集脸部反伪造的防伪.演示文稿攻击攻击变压器变压器变压器

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