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Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder
  Architectures for Scene Understanding
v1v2 (latest)

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

9 November 2015
Alex Kendall
Vijay Badrinarayanan
R. Cipolla
    UQCVBDL
ArXiv (abs)PDFHTML

Papers citing "Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding"

50 / 302 papers shown
Title
High throughput quantitative metallography for complex microstructures
  using deep learning: A case study in ultrahigh carbon steel
High throughput quantitative metallography for complex microstructures using deep learning: A case study in ultrahigh carbon steel
Brian L. DeCost
Bo Lei
T. Francis
Elizabeth A. Holm
AI4CE
44
144
0
04 May 2018
Failure Prediction for Autonomous Driving
Failure Prediction for Autonomous Driving
Simon Hecker
Dengxin Dai
Luc Van Gool
95
58
0
04 May 2018
On the iterative refinement of densely connected representation levels
  for semantic segmentation
On the iterative refinement of densely connected representation levels for semantic segmentation
Arantxa Casanova
Guillem Cucurull
M. Drozdzal
Adriana Romero
Yoshua Bengio
SSeg
132
24
0
30 Apr 2018
Probabilistic Plant Modeling via Multi-View Image-to-Image Translation
Probabilistic Plant Modeling via Multi-View Image-to-Image Translation
Takahiro Isokane
Fumio Okura
Ayaka Ide
Y. Matsushita
Y. Yagi
3DV
34
33
0
25 Apr 2018
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte
  Carlo Sampling
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling
Abhijit Guha Roy
Sailesh Conjeti
Nassir Navab
Christian Wachinger
UQCV
67
87
0
19 Apr 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
3DPCUQCV
79
247
0
13 Apr 2018
A Survey on Deep Learning Methods for Robot Vision
A Survey on Deep Learning Methods for Robot Vision
Javier Ruiz-del-Solar
P. Loncomilla
Naiomi Soto
63
60
0
28 Mar 2018
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
Muzammal Naseer
Salman H Khan
Fatih Porikli
3DPC3DV
78
101
0
09 Mar 2018
Active Learning with Partial Feedback
Active Learning with Partial Feedback
Peiyun Hu
Zachary Chase Lipton
Anima Anandkumar
Deva Ramanan
57
67
0
21 Feb 2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
  for Medical Image Segmentation
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
SSeg
133
1,018
0
20 Feb 2018
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
Mattias Teye
Hossein Azizpour
Kevin Smith
BDLUQCV
172
241
0
18 Feb 2018
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with
  Bayesian Deep Learning
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
T. Vandal
E. Kodra
Jennifer Dy
S. Ganguly
R. Nemani
A. Ganguly
UQCVBDL
86
53
0
13 Feb 2018
Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural
  Networks with Application to Pulmonary Nodule Detection
Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection
Onur Ozdemir
Benjamin Woodward
A. Berlin
UQCVMedIm
68
37
0
01 Dec 2017
Deep Predictive Models for Collision Risk Assessment in Autonomous
  Driving
Deep Predictive Models for Collision Risk Assessment in Autonomous Driving
Mark Strickland
Georgios Fainekos
H. B. Amor
100
69
0
28 Nov 2017
Cost-Effective Active Learning for Melanoma Segmentation
Cost-Effective Active Learning for Melanoma Segmentation
Marc Górriz
Axel Carlier
Emmanuel Faure
Xavier Giró-i-Nieto
72
119
0
24 Nov 2017
Regularization of Deep Neural Networks with Spectral Dropout
Regularization of Deep Neural Networks with Spectral Dropout
Salman Khan
Munawar Hayat
Fatih Porikli
70
103
0
23 Nov 2017
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for
  Semantic Segmentation
Squeeze-SegNet: A new fast Deep Convolutional Neural Network for Semantic Segmentation
Géraldin Nanfack
Azeddine Elhassouny
Rachid Oulad Haj Thami
SSeg
137
23
0
15 Nov 2017
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
BDLUQCV
90
239
0
18 Oct 2017
Deep learning in remote sensing: a review
Deep learning in remote sensing: a review
Xiaoxiang Zhu
D. Tuia
Lichao Mou
Gui-Song Xia
Liangpei Zhang
Feng Xu
Friedrich Fraundorfer
100
1,626
0
11 Oct 2017
SeDAR - Semantic Detection and Ranging: Humans can localise without
  LiDAR, can robots?
SeDAR - Semantic Detection and Ranging: Humans can localise without LiDAR, can robots?
Oscar Alejandro Mendez Maldonado
Simon Hadfield
N. Pugeault
Richard Bowden
70
34
0
05 Sep 2017
Stacked Deconvolutional Network for Semantic Segmentation
Stacked Deconvolutional Network for Semantic Segmentation
J. Fu
Qingbin Liu
Yuhang Wang
Hanqing Lu
SSeg
71
213
0
16 Aug 2017
Learning Uncertain Convolutional Features for Accurate Saliency
  Detection
Learning Uncertain Convolutional Features for Accurate Saliency Detection
Pingping Zhang
D. Wang
Huchuan Lu
Hongyu Wang
Baocai Yin
111
431
0
07 Aug 2017
The Devil is in the Decoder: Classification, Regression and GANs
The Devil is in the Decoder: Classification, Regression and GANs
Z. Wojna
V. Ferrari
S. Guadarrama
N. Silberman
Liang-Chieh Chen
Alireza Fathi
J. Uijlings
69
93
0
18 Jul 2017
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in
  Gaussian Process Hybrid Deep Networks
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw
A. G. Matthews
Zoubin Ghahramani
BDLAAML
123
172
0
08 Jul 2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and
  Challenges
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Mennatullah Siam
Sara Elkerdawy
Martin Jägersand
S. Yogamani
165
167
0
08 Jul 2017
Gaussian Processes Semantic Map Representation
Gaussian Processes Semantic Map Representation
M. G. Jadidi
Lu Gan
Steven A. Parkison
Jie Li
Ryan Eustice
77
28
0
05 Jul 2017
Learning-based Image Enhancement for Visual Odometry in Challenging HDR
  Environments
Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments
Ruben Gomez-Ojeda
Zichao Zhang
Javier González Jiménez
Davide Scaramuzza
110
53
0
05 Jul 2017
Bayesian LSTMs in medicine
Bayesian LSTMs in medicine
J. Westhuizen
Joan Lasenby
BDLOOD
49
16
0
05 Jun 2017
Concrete Dropout
Concrete Dropout
Y. Gal
Jiri Hron
Alex Kendall
BDLUQCV
214
593
0
22 May 2017
Learning 3D Object Categories by Looking Around Them
Learning 3D Object Categories by Looking Around Them
David Novotny
Diane Larlus
Andrea Vedaldi
3DV3DPC
76
83
0
10 May 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DVSSeg
128
1,278
0
22 Apr 2017
Deep Reinforcement Learning framework for Autonomous Driving
Deep Reinforcement Learning framework for Autonomous Driving
Ahmad El-Sallab
Mohammed Abdou
E. Perot
S. Yogamani
107
972
0
08 Apr 2017
Deep Depth From Focus
Deep Depth From Focus
C. Hazirbas
Sebastian Georg Soyer
Maximilian Christian Staab
Laura Leal-Taixé
Daniel Cremers
3DV
96
85
0
04 Apr 2017
The Stixel world: A medium-level representation of traffic scenes
The Stixel world: A medium-level representation of traffic scenes
Marius Cordts
Timo Rehfeld
Lukas Schneider
D. Pfeiffer
Markus Enzweiler
Stefan Roth
Marc Pollefeys
Uwe Franke
3DV
83
43
0
02 Apr 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
BDLOODUDUQCVPER
411
4,731
0
15 Mar 2017
Depth from Monocular Images using a Semi-Parallel Deep Neural Network
  (SPDNN) Hybrid Architecture
Depth from Monocular Images using a Semi-Parallel Deep Neural Network (SPDNN) Hybrid Architecture
S. Bazrafkan
Hossein Javidnia
Joseph Lemley
Peter Corcoran
MDE
105
16
0
10 Mar 2017
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
Yingzhen Li
Y. Gal
UQCVBDL
145
197
0
08 Mar 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDLUQCV
87
1,741
0
08 Mar 2017
Label Refinement Network for Coarse-to-Fine Semantic Segmentation
Label Refinement Network for Coarse-to-Fine Semantic Segmentation
Md. Amirul Islam
Shujon Naha
Mrigank Rochan
Neil D. B. Bruce
Yang Wang
SSeg
82
55
0
01 Mar 2017
Learning Multi-level Region Consistency with Dense Multi-label Networks
  for Semantic Segmentation
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation
T. Shen
Guosheng Lin
Chunhua Shen
Ian Reid
SSeg
58
10
0
25 Jan 2017
End-to-End Deep Reinforcement Learning for Lane Keeping Assist
End-to-End Deep Reinforcement Learning for Lane Keeping Assist
Ahmad El-Sallab
Mohammed Abdou
E. Perot
S. Yogamani
72
176
0
13 Dec 2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for
  Semantic Segmentation
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
S. Jégou
M. Drozdzal
David Vazquez
Adriana Romero
Yoshua Bengio
SSeg
235
1,582
0
28 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TSSSeg
296
2,853
0
20 Nov 2016
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
A Recurrent Encoder-Decoder Network for Sequential Face Alignment
Xi Peng
Rogerio Feris
Xiaoyu Wang
Dimitris N. Metaxas
CVBM
240
141
0
19 Aug 2016
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
92
1,049
0
14 Aug 2016
Play and Learn: Using Video Games to Train Computer Vision Models
Play and Learn: Using Video Games to Train Computer Vision Models
Alireza Shafaei
James J. Little
Mark Schmidt
90
108
0
05 Aug 2016
Deep Learning Convolutional Networks for Multiphoton Microscopy
  Vasculature Segmentation
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Petteri Teikari
Marc A. Santos
Charissa Poon
K. Hynynen
3DV
95
48
0
08 Jun 2016
Estimating Depth from Monocular Images as Classification Using Deep
  Fully Convolutional Residual Networks
Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks
Yuanzhouhan Cao
Zifeng Wu
Chunhua Shen
MDE
134
407
0
08 May 2016
Exploring Context with Deep Structured models for Semantic Segmentation
Exploring Context with Deep Structured models for Semantic Segmentation
Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
SSeg
242
125
0
10 Mar 2016
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Kyunghyun Cho
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLMSSeg
100
251
0
22 Nov 2015
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