MFNet‐LE: Multilevel fusion network with Laplacian embedding for face presentation attacks detection
Abstract Face detection is playing a pivotal role for crowd counting and abnormal events detection. However, it is vulnerable to face presentation attacks by printed photos, videos, and 3D masks of real human faces. Although numerous detection techniques based on deep learning have been employed to...
Saved in:
Main Authors: | Sijie Niu, Xiaofeng Qu, Junting Chen, Xizhan Gao, Tingwei Wang, Jiwen Dong |
---|---|
Format: | article |
Language: | EN |
Published: |
Wiley
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/a0bac69a734d4a05bca0c7a3e2934aef |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel face recognition method based on fusion of LBP and HOG
by: Ting Chen, et al.
Published: (2021) -
Multi‐view intrinsic low‐rank representation for robust face recognition and clustering
by: Zhi‐yang Wang, et al.
Published: (2021) -
Latent label mining for group activity recognition in basketball videos
by: Lifang Wu, et al.
Published: (2021) -
Cross‐modal semantic correlation learning by Bi‐CNN network
by: Chaoyi Wang, et al.
Published: (2021) -
Multi‐dimensional weighted cross‐attention network in crowded scenes
by: Yefan Xie, et al.
Published: (2021)