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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
Novel Uncertainty Framework for Deep Learning Ensembles
Novel Uncertainty Framework for Deep Learning Ensembles
Tal Kachman
Michal Moshkovitz
Michal Rosen-Zvi
UQCVOODBDL
42
3
0
09 Apr 2019
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval
  Task
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task
Kenta Hama
Takashi Matsubara
K. Uehara
Jianfei Cai
BDLUQCV
40
6
0
09 Apr 2019
Uncertainty Measures and Prediction Quality Rating for the Semantic
  Segmentation of Nested Multi Resolution Street Scene Images
Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene Images
Matthias Rottmann
Marius Schubert
UQCV
74
38
0
09 Apr 2019
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by
  a Multi-Task Geometric and Semantic Scene Understanding Approach
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
Amir Atapour-Abarghouei
T. Breckon
MDE
65
34
0
26 Mar 2019
Realtime Rooftop Landing Site Identification and Selection in Urban City
  Simulation
Realtime Rooftop Landing Site Identification and Selection in Urban City Simulation
J. Castagno
Yu Yao
E. Atkins
26
3
0
09 Mar 2019
Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image
  Forgeries
Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries
Jawadul H. Bappy
Cody Simons
L. Nataraj
B. S. Manjunath
Amit K. Roy-Chowdhury
74
345
0
06 Mar 2019
Statistical Guarantees for the Robustness of Bayesian Neural Networks
Statistical Guarantees for the Robustness of Bayesian Neural Networks
L. Cardelli
Marta Kwiatkowska
Luca Laurenti
Nicola Paoletti
A. Patané
Matthew Wicker
AAML
89
54
0
05 Mar 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
173
1,014
0
21 Feb 2019
Application of Decision Rules for Handling Class Imbalance in Semantic
  Segmentation
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation
Robin Shing Moon Chan
Matthias Rottmann
Fabian Hüger
Peter Schlicht
Hanno Gottschalk
SSeg
69
41
0
24 Jan 2019
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for
  photoreceptor layer segmentation in pathological OCT scans
U2-Net: A Bayesian U-Net model with epistemic uncertainty feedback for photoreceptor layer segmentation in pathological OCT scans
J. Orlando
Philipp Seeböck
Hrvoje Bogunović
S. Klimscha
C. Grechenig
S. Waldstein
Bianca S. Gerendas
U. Schmidt-Erfurth
UQCV
56
56
0
23 Jan 2019
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
Ahmed Taha
Yi-Ting Chen
Xitong Yang
Teruhisa Misu
L. Davis
UQCV
81
9
0
23 Jan 2019
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for
  Semantic Nighttime Image Segmentation
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
Daniel Gehrig
Dengxin Dai
Luc Van Gool
75
20
0
17 Jan 2019
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL
  Segmentation using Deep CNN
Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN
H. P. Do
Yi Guo
A. Yoon
K. Nayak
86
23
0
10 Dec 2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Jishnu Mukhoti
Y. Gal
UQCVBDL
107
225
0
30 Nov 2018
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
Network Uncertainty Informed Semantic Feature Selection for Visual SLAM
Pranav Ganti
Steven L. Waslander
63
24
0
29 Nov 2018
Probabilistic Object Detection: Definition and Evaluation
Probabilistic Object Detection: Definition and Evaluation
David Hall
Feras Dayoub
John Skinner
Haoyang Zhang
Dimity Miller
Peter Corke
G. Carneiro
A. Angelova
Niko Sünderhauf
UQCV
82
111
0
27 Nov 2018
An overview of deep learning in medical imaging focusing on MRI
An overview of deep learning in medical imaging focusing on MRI
A. Lundervold
A. Lundervold
OOD
112
1,653
0
25 Nov 2018
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation
  for Structure-wise Quality Control
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control
Abhijit Guha Roy
Sailesh Conjeti
Nassir Navab
Christian Wachinger
UQCV
76
120
0
24 Nov 2018
Variational Bayesian Dropout with a Hierarchical Prior
Variational Bayesian Dropout with a Hierarchical Prior
Yuhang Liu
Wenyong Dong
Lei Zhang
Dong Gong
Javen Qinfeng Shi
BDL
52
18
0
19 Nov 2018
Quantifying Uncertainties in Natural Language Processing Tasks
Quantifying Uncertainties in Natural Language Processing Tasks
Yijun Xiao
William Yang Wang
UQCVBDL
99
151
0
18 Nov 2018
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving
  Control
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control
Rhiannon Michelmore
Marta Kwiatkowska
Y. Gal
UQCV
79
103
0
16 Nov 2018
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse
  issue in Monte Carlo dropout via Ensembles
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles
Remus Pop
Patric Fulop
UQCV
69
41
0
09 Nov 2018
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Kashyap Chitta
J. Álvarez
Adam Lesnikowski
BDLUQCV
128
35
0
08 Nov 2018
BAR: Bayesian Activity Recognition using variational inference
BAR: Bayesian Activity Recognition using variational inference
R. Krishnan
Mahesh Subedar
S. Bhatnagar
BDLUQCV
65
21
0
08 Nov 2018
Prediction Error Meta Classification in Semantic Segmentation: Detection
  via Aggregated Dispersion Measures of Softmax Probabilities
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities
Matthias Rottmann
Pascal Colling
Thomas-Paul Hack
Robin Shing Moon Chan
Fabian Hüger
Peter Schlicht
Hanno Gottschalk
UQCV
163
82
0
01 Nov 2018
Deep Fundamental Matrix Estimation without Correspondences
Deep Fundamental Matrix Estimation without Correspondences
Omid Poursaeed
Guandao Yang
Aditya Prakash
Qi Fang
Hanqing Jiang
Bharath Hariharan
Serge J. Belongie
3DV
68
38
0
03 Oct 2018
Quantifying total uncertainty in physics-informed neural networks for
  solving forward and inverse stochastic problems
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems
Dongkun Zhang
Lu Lu
Ling Guo
George Karniadakis
UQCV
124
414
0
21 Sep 2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques
  in Object Detection
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection
Dimity Miller
Feras Dayoub
Michael Milford
Niko Sünderhauf
115
108
0
17 Sep 2018
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time
  LiDAR 3D Object Detection
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection
Di Feng
Lars Rosenbaum
Fabian Timm
Klaus C. J. Dietmayer
3DPC
91
69
0
14 Sep 2018
Deep Network Uncertainty Maps for Indoor Navigation
Deep Network Uncertainty Maps for Indoor Navigation
Francesco Verdoja
Jens Lundell
Ville Kyrki
UQCV
63
18
0
13 Sep 2018
Crack-pot: Autonomous Road Crack and Pothole Detection
Crack-pot: Autonomous Road Crack and Pothole Detection
Sukhad Anand
Saksham Gupta
Vaibhav Darbari
Shivam Kohli
55
58
0
09 Sep 2018
Deep Depth from Defocus: how can defocus blur improve 3D estimation
  using dense neural networks?
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?
Marcela Carvalho
Bertrand Le Saux
Pauline Trouvé-Peloux
Andrés Almansa
F. Champagnat
3DVMDE
81
59
0
05 Sep 2018
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis
  Lesion Detection and Segmentation
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation
T. Nair
Doina Precup
Douglas L. Arnold
Tal Arbel
UQCV
65
449
0
03 Aug 2018
Modular Sensor Fusion for Semantic Segmentation
Modular Sensor Fusion for Semantic Segmentation
Hermann Blum
Abel Gawel
Roland Siegwart
Cesar Cadena
67
14
0
30 Jul 2018
Efficient Uncertainty Estimation for Semantic Segmentation in Videos
Efficient Uncertainty Estimation for Semantic Segmentation in Videos
Po-Yu Huang
W. Hsu
Chun-Yueh Chiu
Tingfan Wu
Min Sun
BDLUQCV
74
108
0
29 Jul 2018
Actor-Action Semantic Segmentation with Region Masks
Actor-Action Semantic Segmentation with Region Masks
K. Dang
Chunluan Zhou
Zhigang Tu
Michael Hoy
Justin Dauwels
Junsong Yuan
78
8
0
23 Jul 2018
A Dataset of Laryngeal Endoscopic Images with Comparative Study on
  Convolution Neural Network Based Semantic Segmentation
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation
M. Laves
J. Bicker
L. Kahrs
T. Ortmaier
82
96
0
16 Jul 2018
Uncertainty and Interpretability in Convolutional Neural Networks for
  Semantic Segmentation of Colorectal Polyps
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps
Kristoffer Wickstrøm
Michael C. Kampffmeyer
Robert Jenssen
UQCV
87
77
0
16 Jul 2018
Learning to Segment Medical Images with Scribble-Supervision Alone
Learning to Segment Medical Images with Scribble-Supervision Alone
Y. Can
K. Chaitanya
Basil Mustafa
Lisa M. Koch
E. Konukoglu
Christian F. Baumgartner
61
88
0
12 Jul 2018
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual
  Network
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
Muhammed Kocabas
Salih Karagoz
Emre Akbas
3DHCVBM
74
254
0
11 Jul 2018
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation
Siddhartha Chandra
Camille Couprie
Iasonas Kokkinos
74
63
0
03 Jul 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality
Leveraging Uncertainty Estimates for Predicting Segmentation Quality
Terrance Devries
Graham W. Taylor
UQCV
125
114
0
02 Jul 2018
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic
  Image Labeling
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling
Md. Amirul Islam
Mrigank Rochan
Shujon Naha
Neil D. B. Bruce
Yang Wang
40
22
0
29 Jun 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images
A Probabilistic U-Net for Segmentation of Ambiguous Images
Simon A. A. Kohl
Bernardino Romera-Paredes
Clemens Meyer
J. Fauw
J. Ledsam
Klaus H. Maier-Hein
S. M. Ali Eslami
Danilo Jimenez Rezende
Olaf Ronneberger
UQCVSSeg
86
578
0
13 Jun 2018
Uncertainty-driven Sanity Check: Application to Postoperative Brain
  Tumor Cavity Segmentation
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation
Alain Jungo
Raphael Meier
E. Ermiş
Evelyn Herrmann
M. Reyes
UQCV
107
47
0
08 Jun 2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance
  Segmentation in Colon Histology Images
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
S. Graham
Hao Chen
Jevgenij Gamper
Qi Dou
Pheng-Ann Heng
David R. J. Snead
Yee Wah Tsang
Nasir M. Rajpoot
MedIm
91
307
0
05 Jun 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Jay Heo
Haebeom Lee
Saehoon Kim
Juho Lee
Kwang Joon Kim
Eunho Yang
Sung Ju Hwang
OOD
79
87
0
24 May 2018
Spatial Uncertainty Sampling for End-to-End Control
Spatial Uncertainty Sampling for End-to-End Control
Alexander Amini
A. Soleimany
S. Karaman
Daniela Rus
UQCVBDL
61
30
0
13 May 2018
Loss-Calibrated Approximate Inference in Bayesian Neural Networks
Loss-Calibrated Approximate Inference in Bayesian Neural Networks
Adam D. Cobb
Stephen J. Roberts
Y. Gal
BDLUQCV
84
43
0
10 May 2018
Facade Segmentation in the Wild
Facade Segmentation in the Wild
John C. Femiani
W. Para
Niloy Mitra
Peter Wonka
CVBM
37
24
0
09 May 2018
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