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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
DBCal: Density Based Calibration of classifier predictions for
  uncertainty quantification
DBCal: Density Based Calibration of classifier predictions for uncertainty quantification
A. Hagen
K. Pazdernik
Nicole LaHaye
Marjolein Oostrom
UQCV
54
2
0
01 Apr 2022
Hyperbolic Uncertainty Aware Semantic Segmentation
Bike Chen
Wei Peng
Xiaofeng Cao
Juha Roning
UQCV
99
17
0
16 Mar 2022
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Abolfazl Razi
Xiwen Chen
Huayu Li
Hao Wang
Brendan J. Russo
Yan Chen
Hongbin Yu
110
40
0
07 Mar 2022
Informative Path Planning for Active Learning in Aerial Semantic Mapping
Informative Path Planning for Active Learning in Aerial Semantic Mapping
Julius Ruckin
Liren Jin
Federico Magistri
C. Stachniss
Marija Popović
74
11
0
03 Mar 2022
Detecting and Learning the Unknown in Semantic Segmentation
Detecting and Learning the Unknown in Semantic Segmentation
Robin Shing Moon Chan
Svenja Uhlemeyer
Matthias Rottmann
Hanno Gottschalk
UQCV
100
5
0
17 Feb 2022
Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation
Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation
Yang Zhang
Yang Yang
Chenyun Xiong
Guodong Sun
Yanwen Guo
77
16
0
05 Jan 2022
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class
  Annealing
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
Renyu Zhang
Aly A. Khan
Robert L. Grossman
Yuxin Chen
BDL
49
2
0
27 Dec 2021
Maximum Entropy on Erroneous Predictions (MEEP): Improving model
  calibration for medical image segmentation
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation
Agostina J. Larrazabal
Cesar E. Martínez
Jose Dolz
Enzo Ferrante
106
15
0
22 Dec 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in
  Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking
  Results
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta
Angelos Filos
Ujjwal Baid
C. Sako
Richard McKinley
...
Christos Davatzikos
Bjoern Menze
Spyridon Bakas
Y. Gal
Tal Arbel
UQCV
110
49
0
19 Dec 2021
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise
  Mitigation in Weakly-supervised Semantic Segmentation
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Yi Li
Yiqun Duan
Zhanghui Kuang
Yimin Chen
Wayne Zhang
Xiaomeng Li
103
75
0
14 Dec 2021
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image
  Segmentation with Ambiguous Labels
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels
Sun-Beom Hong
A. Bonkhoff
Andrew Hoopes
Martin Bretzner
M. Schirmer
A. Giese
Adrian Dalca
Polina Golland
N. Rost
UQCV
60
7
0
13 Dec 2021
Diffusion Models for Implicit Image Segmentation Ensembles
Diffusion Models for Implicit Image Segmentation Ensembles
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe Valmaggia
Philippe C. Cattin
DiffMMedImVLM
217
276
0
06 Dec 2021
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth
  Uncertainty Learning
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning
Hangtong Wu
Dan Zeng
Yibo Hu
Hailin Shi
Tao Mei
CVBM
87
41
0
01 Dec 2021
Auto-Encoding Score Distribution Regression for Action Quality
  Assessment
Auto-Encoding Score Distribution Regression for Action Quality Assessment
Boyu Zhang
Jiayuan Chen
Yinfei Xu
Hui Zhang
Xu Yang
Xin Geng
93
28
0
22 Nov 2021
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty
  Propagation in Encoder-Decoder Networks
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks
Giuseppina Carannante
Dimah Dera
Nidhal C.Bouaynaya
Hassan M. Fathallah-Shaykh
Ghulam Rasool
UQCVAAMLOOD
118
6
0
10 Nov 2021
Deep Deterministic Uncertainty for Semantic Segmentation
Deep Deterministic Uncertainty for Semantic Segmentation
Jishnu Mukhoti
Joost R. van Amersfoort
Philip Torr
Y. Gal
BDLUQCV
109
30
0
29 Oct 2021
False Positive Detection and Prediction Quality Estimation for LiDAR
  Point Cloud Segmentation
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation
Pascal Colling
Matthias Rottmann
L. Roese-Koerner
Hanno Gottschalk
3DPC
54
3
0
29 Oct 2021
Dense Uncertainty Estimation
Dense Uncertainty Estimation
Jing Zhang
Yuchao Dai
Mochu Xiang
Deng-Ping Fan
Peyman Moghadam
Mingyi He
Christian J. Walder
Kaihao Zhang
Mehrtash Harandi
Nick Barnes
UQCVBDL
133
11
0
13 Oct 2021
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network
  Training via Memory-Friendly Pattern Retrieving
Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving
Qiyu Wan
Haojun Xia
Xingyao Zhang
Lening Wang
Shuaiwen Leon Song
Xin Fu
OOD
62
9
0
07 Oct 2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised
  Learning: Application To Gleason Grade Segmentation
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation
Dwarikanath Mahapatra
SSL
68
6
0
01 Oct 2021
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural
  networks for robot perception
fff-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
Dhaivat Bhatt
Kaustubh Mani
Dishank Bansal
Krishna Murthy Jatavallabhula
Hanju Lee
Liam Paull
UQCV
93
5
0
28 Sep 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to
  Multi-Class Segmentation
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation
Robin Camarasa
D. Bos
J. Hendrikse
P. Nederkoorn
D. Epidemiology
D. Neurology
Department of Computer Science
UQCV
80
12
0
22 Sep 2021
Uncertainty Quantification in Medical Image Segmentation with
  Multi-decoder U-Net
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net
Yanwu Yang
Xutao Guo
Yiwei Pan
P. Shi
Haiyan Lv
Tingxia Ma
UQCV
58
8
0
15 Sep 2021
CAN3D: Fast 3D Medical Image Segmentation via Compact Context
  Aggregation
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation
Wei Dai
B. Woo
Siyu Liu
Matthew Marques
Craig B. Engstrom
P. Greer
Stuart Crozier
Jason Dowling
Shekhar S. Chandra
105
15
0
12 Sep 2021
Improving Building Segmentation for Off-Nadir Satellite Imagery
Improving Building Segmentation for Off-Nadir Satellite Imagery
Hanxiang Hao
Sriram Baireddy
Kevin J. LaTourette
Latisha R. Konz
Moses W. Chan
M. Comer
Edward J. Delp
75
3
0
08 Sep 2021
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty
  Estimation
A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation
Khoi Duc Minh Nguyen
S. Todorovic
40
28
0
23 Aug 2021
Intelligent Railway Foreign Object Detection: A Semi-supervised
  Convolutional Autoencoder Based Method
Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method
Tian-hu Wang
Zijun Zhang
Fangfang Yang
K. Tsui
13
13
0
05 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from
  local adversarial attacks in Semantic Segmentation
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
UQCV
88
47
0
03 Aug 2021
$μ$DARTS: Model Uncertainty-Aware Differentiable Architecture Search
μμμDARTS: Model Uncertainty-Aware Differentiable Architecture Search
Biswadeep Chakraborty
Saibal Mukhopadhyay
UQCV
35
2
0
24 Jul 2021
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction
DDCNet: Deep Dilated Convolutional Neural Network for Dense Prediction
A. Salehi
M. Balasubramanian
MDE
46
16
0
09 Jul 2021
Modality specific U-Net variants for biomedical image segmentation: A
  survey
Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn
Sonali Agarwal
SSeg
104
151
0
09 Jul 2021
Energy-Based Generative Cooperative Saliency Prediction
Energy-Based Generative Cooperative Saliency Prediction
Jing Zhang
Jianwen Xie
Zilong Zheng
Nick Barnes
96
12
0
25 Jun 2021
Trinity: A No-Code AI platform for complex spatial datasets
Trinity: A No-Code AI platform for complex spatial datasets
C. V. K. Iyer
Feili Hou
Henry Wang
Yonghong Wang
Kay Oh
Swetava Ganguli
Vipul Pandey
SyDa
76
23
0
21 Jun 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric
  Inter-Label Relations For COVID Image Analysis
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
Dwarikanath Mahapatra
Ankur Singh
86
8
0
15 Jun 2021
A Procedural World Generation Framework for Systematic Evaluation of
  Continual Learning
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning
Timm Hess
Martin Mundt
Iuliia Pliushch
Visvanathan Ramesh
68
7
0
04 Jun 2021
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based
  Accelerator
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator
Martin Ferianc
Zhiqiang Que
Hongxiang Fan
Wayne Luk
Miguel R. D. Rodrigues
BDL
62
7
0
04 Jun 2021
Learning Uncertainty For Safety-Oriented Semantic Segmentation In
  Autonomous Driving
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving
Victor Besnier
David Picard
Alexandre Briot
UQCV
55
11
0
28 May 2021
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation
  Task
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task
Darwin Saire
Adín Ramirez Rivera
57
5
0
28 May 2021
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning
  with Applications in Autonomous Driving
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving
C. Hoel
Krister Wolff
L. Laine
UQCVEDL
68
42
0
21 May 2021
High-Performance FPGA-based Accelerator for Bayesian Neural Networks
High-Performance FPGA-based Accelerator for Bayesian Neural Networks
Hongxiang Fan
Martin Ferianc
Miguel R. D. Rodrigues
Hongyu Zhou
Xinyu Niu
Wayne Luk
BDL
42
23
0
12 May 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
Robin Shing Moon Chan
Krzysztof Lis
Svenja Uhlemeyer
Hermann Blum
S. Honari
Roland Siegwart
Pascal Fua
Mathieu Salzmann
Matthias Rottmann
UQCV
112
136
0
30 Apr 2021
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need
  in MOOC Forums
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
Jialin Yu
Laila Alrajhi
Anoushka Harit
Zhongtian Sun
Alexandra I. Cristea
Lei Shi
BDLUQCV
82
8
0
26 Apr 2021
Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial
  Images
Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial Images
V. Sharma
Pratap Tokekar
70
3
0
23 Apr 2021
FIERY: Future Instance Prediction in Bird's-Eye View from Surround
  Monocular Cameras
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
Anthony Hu
Zak Murez
Nikhil C. Mohan
Sofía Dudas
Jeffrey Hawke
Vijay Badrinarayanan
R. Cipolla
Alex Kendall
248
264
0
21 Apr 2021
AI perspectives in Smart Cities and Communities to enable road vehicle
  automation and smart traffic control
AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control
Cristofer Englund
E. Aksoy
F. Alonso-Fernandez
Martin Cooney
Sepideh Pashami
B. Åstrand
49
42
0
07 Apr 2021
Detection, growth quantification and malignancy prediction of pulmonary
  nodules using deep convolutional networks in follow-up CT scans
Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans
Xavier Rafael-Palou
A. Aubanell
M. Ceresa
Vicent J. Ribas
Gemma Piella
M. A. G. Ballester
MedIm
64
3
0
26 Mar 2021
S3Net: 3D LiDAR Sparse Semantic Segmentation Network
S3Net: 3D LiDAR Sparse Semantic Segmentation Network
Ran Cheng
Ryan Razani
Y. Ren
Bingbing Liu
3DPC
61
30
0
15 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in
  3D MRI Brain Tumor Segmentation
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
K. R. M. Fernando
Cris P Tsokos
65
54
0
09 Mar 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes
Pixel-wise Anomaly Detection in Complex Driving Scenes
Giancarlo Di Biase
Hermann Blum
Roland Siegwart
Cesar Cadena
UQCV
80
156
0
09 Mar 2021
Highly Efficient Representation and Active Learning Framework and Its
  Application to Imbalanced Medical Image Classification
Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification
Heng Hao
H. Moon
Sima Didari
J. Woo
P. Bangert
AI4TS
24
0
0
25 Feb 2021
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