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Calibrating Uncertainties in Object Localization Task

Calibrating Uncertainties in Object Localization Task

27 November 2018
Buu Phan
Rick Salay
Krzysztof Czarnecki
Vahdat Abdelzad
Taylor Denouden
Sachin Vernekar
    UQCV
ArXivPDFHTML

Papers citing "Calibrating Uncertainties in Object Localization Task"

11 / 11 papers shown
Title
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Volodymyr Kuleshov
Nathan Fenner
Stefano Ermon
BDL
UQCV
73
626
0
01 Jul 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
82
269
0
13 Jun 2018
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural
  Network For Lidar 3D Vehicle Detection
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection
Di Feng
Lars Rosenbaum
Klaus C. J. Dietmayer
3DPC
UQCV
45
244
0
13 Apr 2018
Dropout Sampling for Robust Object Detection in Open-Set Conditions
Dropout Sampling for Robust Object Detection in Open-Set Conditions
Dimity Miller
Lachlan Nicholson
Feras Dayoub
Niko Sünderhauf
BDL
UQCV
50
233
0
18 Oct 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
123
5,774
0
14 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
215
4,667
0
15 Mar 2017
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
398
5,748
0
05 Dec 2016
Robustly representing uncertainty in deep neural networks through
  sampling
Robustly representing uncertainty in deep neural networks through sampling
Patrick McClure
N. Kriegeskorte
UQCV
BDL
OOD
58
15
0
05 Nov 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
141
8,793
0
01 Oct 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
383
9,233
0
06 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
525
99,991
0
04 Sep 2014
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