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Toward Reliable Models for Authenticating Multimedia Content: Detecting
  Resampling Artifacts With Bayesian Neural Networks

Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks

28 July 2020
Anatol Maier
Benedikt Lorch
Christian Riess
    AAML
ArXivPDFHTML

Papers citing "Toward Reliable Models for Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks"

3 / 3 papers shown
Title
Benchmarking Probabilistic Deep Learning Methods for License Plate
  Recognition
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition
Franziska Schirrmacher
Benedikt Lorch
Anatol Maier
Christian Riess
UQCV
10
4
0
02 Feb 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
742
0
06 Jun 2015
1