Exploring Hybrid Pooling of Pretrained Residual Network for Face Anti-spoofing-Reference-Cited by-同舟云学术

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Exploring Hybrid Pooling of Pretrained Residual Network for Face Anti-spoofing

Published:2023-05-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th International Conference on Digital Image Processing
language:
Short-container-title:

Author:

Zhou Daoxiang¹^ORCID,Zhang Yunfei¹^ORCID,Zhang Jun¹^ORCID

Affiliation:

1. College of Data Science, Taiyuan University of Technology, China

Funder

National Natural Science Foundation of China

Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi

Natural Science Foundation of Shanxi Province of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604078.3604140

Reference30 articles.

1. The improved faster r-cnn for detecting small facial landmarks on vietnamese human face based on clinical diagnosis;Anh Tuan Ho Nguyen;Journal of Image and Graphics,2022

2. 3D Face Recognition without Using the Positional Relation of Facial Elements

3. Face Recognition by Using Back Propagation Artificial Neural Network and Windowing Method

4. Implementing Discrete Wavelet and Discrete Cosine Transform with Radial Basis Function Neural Network in Facial Image Recognition

5. The Face Recognition Algorithms Based on Weighted LTP

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