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Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical
  2D Object Detection with Margin Entropy Loss

Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss

1 September 2022
Yannik Blei
Nicolas Jourdan
Nils Gählert
    OODD
ArXivPDFHTML

Papers citing "Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss"

5 / 5 papers shown
Title
Combining pre-trained Vision Transformers and CIDER for Out Of Domain
  Detection
Combining pre-trained Vision Transformers and CIDER for Out Of Domain Detection
Grégor Jouet
Clément Duhart
Francis Rousseaux
Julio Laborde
Cyril de Runz
ViT
31
0
0
06 Sep 2023
Long Range Object-Level Monocular Depth Estimation for UAVs
Long Range Object-Level Monocular Depth Estimation for UAVs
David Silva
Nicolas Jourdan
Nils Gählert
8
1
0
17 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
276
5,661
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
745
0
06 Jun 2015
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
285
9,138
0
06 Jun 2015
1