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Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting

Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting

27 October 2022
Naifeng Zhang
Shan Jia
Siwei Lyu
Xin Li
    AAML
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Papers citing "Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting"

7 / 7 papers shown
Title
MorphGANFormer: Transformer-based Face Morphing and De-Morphing
MorphGANFormer: Transformer-based Face Morphing and De-Morphing
Naifeng Zhang
Xudong Liu
X. Li
Guo-Jun Qi
CVBM
11
5
0
18 Feb 2023
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
32
86
0
16 Jul 2021
Vulnerability Analysis of Face Morphing Attacks from Landmarks and
  Generative Adversarial Networks
Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks
Eklavya Sarkar
Pavel Korshunov
Laurent Colbois
S´ebastien Marcel
AAML
CVBM
44
49
0
09 Dec 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
158
339
0
09 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,304
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,237
0
25 Aug 2016
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