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Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer
  Vision

Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision

4 June 2019
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
    OOD
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision"

50 / 59 papers shown
Title
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
Kaizheng Wang
Keivan K1 Shariatmadar
Shireen Kudukkil Manchingal
Fabio Cuzzolin
David Moens
Hans Hallez
UQCV
BDL
90
12
0
28 Jan 2025
Dynamic Post-Hoc Neural Ensemblers
Dynamic Post-Hoc Neural Ensemblers
Sebastian Pineda Arango
Maciej Janowski
Lennart Purucker
Arber Zela
Frank Hutter
Josif Grabocka
UQCV
33
0
0
06 Oct 2024
Regularized Multi-Decoder Ensemble for an Error-Aware Scene
  Representation Network
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network
Tianyu Xiong
Skylar W. Wurster
Hanqi Guo
Tom Peterka
Han-Wei Shen
UQCV
48
1
0
26 Jul 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of
  Vector Field Data
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data
Atul Kumar
S. Garg
Soumya Dutta
43
0
0
23 Jul 2024
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving
Daniel Bogdoll
Noël Ollick
Tim Joseph
J. Marius Zöllner
29
1
0
10 Jun 2024
Decoupling of neural network calibration measures
Decoupling of neural network calibration measures
D. Wolf
Prasannavenkatesh Balaji
Alexander Braun
Markus Ulrich
UQCV
36
3
0
04 Jun 2024
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang
Fabio Cuzzolin
Keivan K1 Shariatmadar
David Moens
Hans Hallez
UQCV
BDL
74
6
0
23 May 2024
Kermut: Composite kernel regression for protein variant effects
Kermut: Composite kernel regression for protein variant effects
Peter Mørch Groth
Mads Herbert Kerrn
Lars Olsen
Jesper Salomon
Wouter Boomsma
29
2
0
09 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for
  Robot Manipulation
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
Carlos Plou
Ana C. Murillo
Ruben Martinez-Cantin
OffRL
29
0
0
02 Apr 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Lingdong Kong
Xiang Xu
Jun Cen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
45
5
0
25 Mar 2024
Inter- and intra-uncertainty based feature aggregation model for
  semi-supervised histopathology image segmentation
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation
Qiangguo Jin
Hui Cui
Changming Sun
Yang Song
Jiangbin Zheng
Leilei Cao
Leyi Wei
Ran Su
41
17
0
19 Mar 2024
Uncertainty Quantification for Image-based Traffic Prediction across
  Cities
Uncertainty Quantification for Image-based Traffic Prediction across Cities
Alexander Timans
Nina Wiedemann
Nishant Kumar
Ye Hong
Martin Raubal
16
1
0
11 Aug 2023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
S. Landgraf
Markus Hillemann
Kira Wursthorn
Markus Ulrich
SSeg
UQCV
19
6
0
19 Jul 2023
Quantification of Uncertainties in Deep Learning-based Environment
  Perception
Quantification of Uncertainties in Deep Learning-based Environment Perception
Marco Braun
Moritz Luszek
Jan Siegemund
Kevin Kollek
A. Kummert
UQCV
EDL
10
4
0
05 Jun 2023
Integrating Uncertainty into Neural Network-based Speech Enhancement
Integrating Uncertainty into Neural Network-based Speech Enhancement
Hu Fang
Dennis Becker
S. Wermter
Timo Gerkmann
UQCV
24
2
0
15 May 2023
Robust Fusion for Bayesian Semantic Mapping
Robust Fusion for Bayesian Semantic Mapping
David Morilla-Cabello
Lorenzo Mur-Labadia
Ruben Martinez-Cantin
Eduardo Montijano
31
11
0
14 Mar 2023
Pathologies of Predictive Diversity in Deep Ensembles
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
38
13
0
01 Feb 2023
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning
  Components
Towards Dependable Autonomous Systems Based on Bayesian Deep Learning Components
F. Arnez
H. Espinoza
A. Radermacher
F. Terrier
UQCV
19
4
0
12 Jan 2023
Bayesian posterior approximation with stochastic ensembles
Bayesian posterior approximation with stochastic ensembles
Oleksandr Balabanov
Bernhard Mehlig
H. Linander
BDL
UQCV
27
5
0
15 Dec 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory
  Prediction
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Masha Itkina
Mykel J. Kochenderfer
EDL
UQCV
14
26
0
16 Nov 2022
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic
  Segmentation
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation
Lokesh Veeramacheneni
Matias Valdenegro-Toro
3DPC
UQCV
22
2
0
11 Nov 2022
A view on model misspecification in uncertainty quantification
A view on model misspecification in uncertainty quantification
Yuko Kato
David Tax
Marco Loog
17
3
0
30 Oct 2022
Calibration tests beyond classification
Calibration tests beyond classification
David Widmann
Fredrik Lindsten
Dave Zachariah
25
17
0
21 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation
Packed-Ensembles for Efficient Uncertainty Estimation
Olivier Laurent
Adrien Lafage
Enzo Tartaglione
Geoffrey Daniel
Jean-Marc Martinez
Andrei Bursuc
Gianni Franchi
OODD
38
32
0
17 Oct 2022
Two Video Data Sets for Tracking and Retrieval of Out of Distribution
  Objects
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects
Kira Maag
Robin Shing Moon Chan
Svenja Uhlemeyer
K. Kowol
Hanno Gottschalk
30
19
0
05 Oct 2022
Latent Discriminant deterministic Uncertainty
Latent Discriminant deterministic Uncertainty
Gianni Franchi
Xuanlong Yu
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
David Filliat
UQCV
22
18
0
20 Jul 2022
Level Set-Based Camera Pose Estimation From Multiple 2D/3D
  Ellipse-Ellipsoid Correspondences
Level Set-Based Camera Pose Estimation From Multiple 2D/3D Ellipse-Ellipsoid Correspondences
Matthieu Zins
Gilles Simon
M. Berger
14
7
0
16 Jul 2022
Uncertainty Quantification for Deep Unrolling-Based Computational
  Imaging
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging
Canberk Ekmekci
Müjdat Çetin
UQCV
16
11
0
02 Jul 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier
Bartosz Wójcik
J. Grela
Marek Śmieja
Krzysztof Misztal
Jacek Tabor
UQCV
31
4
0
28 Jun 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
A. Maraval
Matthieu Zimmer
Antoine Grosnit
Rasul Tutunov
Jun Wang
H. Ammar
25
2
0
27 May 2022
Discovering and forecasting extreme events via active learning in neural
  operators
Discovering and forecasting extreme events via active learning in neural operators
Ethan Pickering
Stephen Guth
George Karniadakis
T. Sapsis
AI4CE
11
57
0
05 Apr 2022
Hyperbolic Uncertainty Aware Semantic Segmentation
Bike Chen
Wei Peng
Xiaofeng Cao
Juha Roning
UQCV
16
15
0
16 Mar 2022
Uncertainty Estimation for Language Reward Models
Uncertainty Estimation for Language Reward Models
Adam Gleave
G. Irving
UQLM
29
31
0
14 Mar 2022
Deep Ensembles Work, But Are They Necessary?
Deep Ensembles Work, But Are They Necessary?
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
R. Zemel
John P. Cunningham
OOD
UQCV
36
59
0
14 Feb 2022
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Shiye Lei
Zhuozhuo Tu
Leszek Rutkowski
Feng Zhou
Li Shen
Fengxiang He
Dacheng Tao
BDL
19
2
0
12 Dec 2021
Improving Robustness of Deep Neural Networks for Aerial Navigation by
  Incorporating Input Uncertainty
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty
F. Arnez
H. Espinoza
A. Radermacher
F. Terrier
UQCV
19
7
0
26 Oct 2021
Bayesian deep learning of affordances from RGB images
Bayesian deep learning of affordances from RGB images
Lorenzo Mur-Labadia
Ruben Martinez-Cantin
UQCV
BDL
16
0
0
27 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
27
8
0
15 Sep 2021
A framework for benchmarking uncertainty in deep regression
A framework for benchmarking uncertainty in deep regression
F. Schmähling
Jörg Martin
Clemens Elster
UQCV
23
8
0
10 Sep 2021
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
28
22
0
02 Aug 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
30
1,109
0
07 Jul 2021
Deep Ensembling with No Overhead for either Training or Testing: The
  All-Round Blessings of Dynamic Sparsity
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity
Shiwei Liu
Tianlong Chen
Zahra Atashgahi
Xiaohan Chen
Ghada Sokar
Elena Mocanu
Mykola Pechenizkiy
Zhangyang Wang
D. Mocanu
OOD
25
49
0
28 Jun 2021
Correlated Input-Dependent Label Noise in Large-Scale Image
  Classification
Correlated Input-Dependent Label Noise in Large-Scale Image Classification
Mark Collier
Basil Mustafa
Efi Kokiopoulou
Rodolphe Jenatton
Jesse Berent
NoLa
176
53
0
19 May 2021
Structured Ensembles: an Approach to Reduce the Memory Footprint of
  Ensemble Methods
Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods
Jary Pomponi
Simone Scardapane
A. Uncini
UQCV
41
7
0
06 May 2021
Deep Learning for Bayesian Optimization of Scientific Problems with
  High-Dimensional Structure
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure
Samuel Kim
Peter Y. Lu
Charlotte Loh
Jamie Smith
Jasper Snoek
M. Soljavcić
BDL
AI4CE
63
17
0
23 Apr 2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty
Chao Qu
Wenxin Liu
Camillo J. Taylor
UQCV
BDL
17
31
0
29 Mar 2021
A Review and Comparative Study on Probabilistic Object Detection in
  Autonomous Driving
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
Di Feng
Ali Harakeh
Steven Waslander
Klaus C. J. Dietmayer
AAML
UQCV
EDL
24
222
0
20 Nov 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training
  Dynamics
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
Swabha Swayamdipta
Roy Schwartz
Nicholas Lourie
Yizhong Wang
Hannaneh Hajishirzi
Noah A. Smith
Yejin Choi
30
429
0
22 Sep 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
F. Wenzel
Jasper Snoek
Dustin Tran
Rodolphe Jenatton
UQCV
22
203
0
24 Jun 2020
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Sheheryar Zaidi
Arber Zela
T. Elsken
Chris Holmes
Frank Hutter
Yee Whye Teh
OOD
UQCV
13
71
0
15 Jun 2020
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