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Stating Comparison Score Uncertainty and Verification Decision
  Confidence Towards Transparent Face Recognition

Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition

19 October 2022
Marco Huber
Philipp Terhörst
Florian Kirchbuchner
Naser Damer
Arjan Kuijper
    CVBM
ArXivPDFHTML

Papers citing "Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition"

8 / 8 papers shown
Title
A Comparison of Human and Machine Learning Errors in Face Recognition
A Comparison of Human and Machine Learning Errors in Face Recognition
Marina Estévez-Almenzar
Ricardo Baeza-Yates
Carlos Castillo
40
0
0
17 Feb 2025
Beyond Spatial Explanations: Explainable Face Recognition in the
  Frequency Domain
Beyond Spatial Explanations: Explainable Face Recognition in the Frequency Domain
Marco Huber
Naser Damer
CVBM
28
1
0
16 Jul 2024
Efficient Explainable Face Verification based on Similarity Score
  Argument Backpropagation
Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation
Marco Huber
An Luu
Philipp Terhörst
Naser Damer
CVBM
AAML
17
13
0
26 Apr 2023
Explainable Model-Agnostic Similarity and Confidence in Face
  Verification
Explainable Model-Agnostic Similarity and Confidence in Face Verification
Martin Knoche
Torben Teepe
S. Hörmann
Gerhard Rigoll
AAML
CVBM
11
17
0
24 Nov 2022
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal
  Matching Confidence in Single- and Multi-Biometric (Face) Recognition
PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition
Pedro C. Neto
Ana F. Sequeira
Jaime S. Cardoso
Philipp Terhörst
CVBM
14
12
0
22 Nov 2022
Confidence-Calibrated Face and Kinship Verification
Confidence-Calibrated Face and Kinship Verification
Min Xu
Ximiao Zhang
Xiuzhuang Zhou
CVBM
14
4
0
25 Oct 2022
EQFace: A Simple Explicit Quality Network for Face Recognition
EQFace: A Simple Explicit Quality Network for Face Recognition
Rushuai Liu
Weijun Tan
CVBM
17
18
0
03 May 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1