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CertainNet: Sampling-free Uncertainty Estimation for Object Detection

CertainNet: Sampling-free Uncertainty Estimation for Object Detection

4 October 2021
Stefano Gasperini
Johannes Haug
M. N. Mahani
Alvaro Marcos-Ramiro
Nassir Navab
Benjamin Busam
F. Tombari
    UQCV
ArXivPDFHTML

Papers citing "CertainNet: Sampling-free Uncertainty Estimation for Object Detection"

6 / 6 papers shown
Title
EvCenterNet: Uncertainty Estimation for Object Detection using
  Evidential Learning
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning
Monish R. Nallapareddy
Kshitij Sirohi
Paulo L. J. Drews-Jr
Wolfram Burgard
Chih-Hong Cheng
Abhinav Valada
EDL
28
7
0
06 Mar 2023
Recent Advancements in Deep Learning Applications and Methods for
  Autonomous Navigation: A Comprehensive Review
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
Arman Asgharpoor Golroudbari
M. Sabour
16
19
0
22 Feb 2023
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose
  Estimation
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
Hanzhi Chen
Fabian Manhardt
Nassir Navab
Benjamin Busam
SSL
26
36
0
25 Dec 2022
Instance-Aware Observer Network for Out-of-Distribution Object
  Segmentation
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
39
1
0
18 Jul 2022
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
5,660
0
05 Dec 2016
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