ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.07620
  4. Cited By
Fingerprint Presentation Attack Detection by Channel-wise Feature
  Denoising

Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising

15 November 2021
Feng Liu
Zhe Kong
Haozhe Liu
Wentian Zhang
Linlin Shen
    AAML
ArXivPDFHTML

Papers citing "Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising"

7 / 7 papers shown
Title
Improving fingerprint presentation attack detection by an approach integrated into the personal verification stage
Improving fingerprint presentation attack detection by an approach integrated into the personal verification stage
Marco Micheletto
G. Orrú
Luca Ghiani
G. L. Marcialis
14
0
0
15 Apr 2025
Fingerprint Presentation Attack Detector Using Global-Local Model
Fingerprint Presentation Attack Detector Using Global-Local Model
Haozhe Liu
Wentian Zhang
Feng Liu
Haoqian Wu
Linlin Shen
23
22
0
20 Feb 2024
Dual Teacher Knowledge Distillation with Domain Alignment for Face
  Anti-spoofing
Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing
Zhe Kong
Wentian Zhang
Tao Wang
Kaihao Zhang
Yuexiang Li
Xiaoying Tang
Wenhan Luo
AAML
CVBM
23
1
0
02 Jan 2024
Deep Learning based Fingerprint Presentation Attack Detection: A
  Comprehensive Survey
Deep Learning based Fingerprint Presentation Attack Detection: A Comprehensive Survey
Hailin Li
Raghavendra Ramachandra
AAML
27
6
0
27 May 2023
Internal Structure Attention Network for Fingerprint Presentation Attack
  Detection from Optical Coherence Tomography
Internal Structure Attention Network for Fingerprint Presentation Attack Detection from Optical Coherence Tomography
Hao Sun
Yilong Zhang
Peng Chen
Haixia Wang
Ronghua Liang
17
2
0
20 Mar 2023
Taming Self-Supervised Learning for Presentation Attack Detection:
  De-Folding and De-Mixing
Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing
Zhe Kong
Wentian Zhang
Feng Liu
Wenhan Luo
Haozhe Liu
Linlin Shen
Raghavendra Ramachandra
AAML
40
6
0
09 Sep 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
1