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Benchmarking Probabilistic Deep Learning Methods for License Plate
  Recognition

Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition

2 February 2023
Franziska Schirrmacher
Benedikt Lorch
Anatol Maier
Christian Riess
    UQCV
ArXivPDFHTML

Papers citing "Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition"

8 / 8 papers shown
Title
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
Anatol Maier
Benedikt Lorch
Christian Riess
AAML
60
17
0
28 Jul 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and
  Lifelong Learning
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning
Yeming Wen
Dustin Tran
Jimmy Ba
OOD
FedML
UQCV
133
491
0
17 Feb 2020
Deep Ensembles: A Loss Landscape Perspective
Deep Ensembles: A Loss Landscape Perspective
Stanislav Fort
Huiyi Hu
Balaji Lakshminarayanan
OOD
UQCV
97
627
0
05 Dec 2019
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
92
5,024
0
20 Nov 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
151
1,688
0
06 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
129
18,058
0
28 May 2019
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
116
2,826
0
15 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
326
4,700
0
15 Mar 2017
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