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What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
v1v2 (latest)

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

15 March 2017
Alex Kendall
Y. Gal
    BDLOODUDUQCVPER
ArXiv (abs)PDFHTML

Papers citing "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"

50 / 2,432 papers shown
GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme
  Precipitation Nowcasting
GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcasting
Eloy Reulen
S. Mehrkanoon
226
9
0
18 Jan 2024
ValUES: A Framework for Systematic Validation of Uncertainty Estimation
  in Semantic Segmentation
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic SegmentationInternational Conference on Learning Representations (ICLR), 2024
Kim-Celine Kahl
Carsten T. Lüth
M. Zenk
Klaus Maier-Hein
Paul F. Jaeger
UQCV
312
23
0
16 Jan 2024
Combining Confidence Elicitation and Sample-based Methods for
  Uncertainty Quantification in Misinformation Mitigation
Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation
Mauricio Rivera
Jean-François Godbout
Reihaneh Rabbany
Kellin Pelrine
HILM
138
17
0
13 Jan 2024
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational
  Inference for Improved Generalization in Audio Pattern Recognition
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern RecognitionIEEE Access (IEEE Access), 2024
John Fischer
Marko Orescanin
Eric Eckstrand
UQCVBDL
276
6
0
10 Jan 2024
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic
  Dataset and New Metrics
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics
Beiwen Tian
Huan-ang Gao
Leiyao Cui
Yupeng Zheng
Lan Luo
Baofeng Wang
Rong Zhi
Guyue Zhou
Hao Zhao
227
6
0
10 Jan 2024
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov
  Decision Processes
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision ProcessesAdaptive Agents and Multi-Agent Systems (AAMAS), 2024
Baiting Luo
Yunuo Zhang
Abhishek Dubey
Ayan Mukhopadhyay
257
5
0
03 Jan 2024
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering
Haopeng Li
Qiuhong Ke
Mingming Gong
Tom Drummond
Qiuhong Ke
281
2
0
03 Jan 2024
Neural Networks Against (and For) Self-Training: Classification with
  Small Labeled and Large Unlabeled Sets
Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled SetsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Payam Karisani
217
2
0
31 Dec 2023
Second-Order Uncertainty Quantification: Variance-Based Measures
Second-Order Uncertainty Quantification: Variance-Based Measures
Yusuf Sale
Paul Hofman
Lisa Wimmer
Eyke Hüllermeier
Thomas Nagler
PERUQCVUD
216
16
0
30 Dec 2023
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence
  Awareness
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence AwarenessIndustrial Conference on Data Mining (IDM), 2023
Yunfei Zhang
Chuan Qin
Dazhong Shen
Haiping Ma
Le Zhang
Xingyi Zhang
Hengshu Zhu
260
12
0
29 Dec 2023
Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted
  with Textual Semantics
Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics
Xueyuan Yang
Chao Yao
Xiaojuan Ban
282
4
0
27 Dec 2023
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty
  from Pre-trained Models
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models
Gianni Franchi
Olivier Laurent
Maxence Leguéry
Andrei Bursuc
Andrea Pilzer
Angela Yao
UQCVBDL
220
16
0
23 Dec 2023
MonoLSS: Learnable Sample Selection For Monocular 3D Detection
MonoLSS: Learnable Sample Selection For Monocular 3D Detection
Zhenjia Li
Jinrang Jia
Yifeng Shi
377
29
0
22 Dec 2023
Weakly Supervised Semantic Segmentation for Driving Scenes
Weakly Supervised Semantic Segmentation for Driving Scenes
Dongseob Kim
Seungho Lee
Junsuk Choe
Hyunjung Shim
592
17
0
21 Dec 2023
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph
  Clustering
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering
Haili Ye
Xiaoqing Zhang
Yan Hu
Huazhu Fu
Jiang-Dong Liu
267
14
0
20 Dec 2023
Uncertainty-based Fairness Measures
Uncertainty-based Fairness Measures
Selim Kuzucu
Jiaee Cheong
Hatice Gunes
Sinan Kalkan
UDPER
256
1
0
18 Dec 2023
Dirichlet-based Uncertainty Quantification for Personalized Federated
  Learning with Improved Posterior Networks
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks
Nikita Kotelevskii
Samuel Horváth
Karthik Nandakumar
Martin Takáč
Maxim Panov
UQCVFedMLOOD
188
13
0
18 Dec 2023
Deep Learning Approaches for Seizure Video Analysis: A Review
Deep Learning Approaches for Seizure Video Analysis: A Review
David Ahmedt-Aristizabal
M. Armin
Zeeshan Hayder
Norberto Garcia-Cairasco
Lars Petersson
Clinton Fookes
Akila Pemasiri
A. McGonigal
355
37
0
18 Dec 2023
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated
  Outlier Class Learning
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
Wenjun Miao
Guansong Pang
Tianqi Li
Xiaolong Bai
Jingyi Zheng
OODD
370
25
0
17 Dec 2023
IntraSeismic: a coordinate-based learning approach to seismic inversion
IntraSeismic: a coordinate-based learning approach to seismic inversion
J. Romero
W. Heidrich
N. Luiken
M. Ravasi
148
0
0
17 Dec 2023
Not Every Side Is Equal: Localization Uncertainty Estimation for
  Semi-Supervised 3D Object Detection
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Chuxin Wang
Wenfei Yang
Tianzhu Zhang
3DPC
245
7
0
16 Dec 2023
Overcome the Fear Of Missing Out: Active Sensing UAV Scanning for
  Precision Agriculture
Overcome the Fear Of Missing Out: Active Sensing UAV Scanning for Precision Agriculture
Marios Krestenitis
Emmanuel K. Raptis
Athanasios Ch. Kapoutsis
Konstantinos Ioannidis
Elias B. Kosmatopoulos
S. Vrochidis
173
16
0
15 Dec 2023
Training of Neural Networks with Uncertain Data: A Mixture of Experts
  Approach
Training of Neural Networks with Uncertain Data: A Mixture of Experts Approach
Lucas Luttner
UQCV
439
2
0
13 Dec 2023
uSF: Learning Neural Semantic Field with Uncertainty
uSF: Learning Neural Semantic Field with Uncertainty
Vsevolod Skorokhodov
Darya Drozdova
Dmitry Yudin
360
2
0
13 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior Projections
Uncertainty Visualization via Low-Dimensional Posterior ProjectionsComputer Vision and Pattern Recognition (CVPR), 2023
Omer Yair
E. Nehme
T. Michaeli
UQCV
307
3
0
12 Dec 2023
Identifying Drivers of Predictive Aleatoric Uncertainty
Identifying Drivers of Predictive Aleatoric UncertaintyInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Pascal Iversen
Simon Witzke
Katharina Baum
Bernhard Y. Renard
UD
542
3
0
12 Dec 2023
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation
  Including the Unseen
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the UnseenAAAI Conference on Artificial Intelligence (AAAI), 2023
Hao Zhang
Fang Li
Lu Qi
Ming-Hsuan Yang
Narendra Ahuja
259
15
0
09 Dec 2023
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with
  Denoising Diffusion Probabilistic Models
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic ModelsAIAA Journal (AIAA J.), 2023
Qiang Liu
Nils Thuerey
DiffMAI4CE
285
35
0
08 Dec 2023
Semi-Supervised Active Learning for Semantic Segmentation in Unknown
  Environments Using Informative Path Planning
Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning
Julius Ruckin
Federico Magistri
C. Stachniss
Marija Popović
SSL
286
19
0
07 Dec 2023
Data-Centric Digital Agriculture: A Perspective
Data-Centric Digital Agriculture: A Perspective
R. Roscher
Lukas Roth
C. Stachniss
Achim Walter
241
5
0
06 Dec 2023
Deep sub-ensembles meets quantile regression: uncertainty-aware imputation for time series
Deep sub-ensembles meets quantile regression: uncertainty-aware imputation for time seriesMachine-mediated learning (ML), 2023
Ying Liu
Peng Cui
Wenbo Hu
Richang Hong
AI4TSDiffMBDL
473
2
0
03 Dec 2023
Second-Order Uncertainty Quantification: A Distance-Based Approach
Second-Order Uncertainty Quantification: A Distance-Based ApproachInternational Conference on Machine Learning (ICML), 2023
Yusuf Sale
Viktor Bengs
Michele Caprio
Eyke Hüllermeier
PERUQCVUD
241
30
0
02 Dec 2023
Adaptive Correspondence Scoring for Unsupervised Medical Image
  Registration
Adaptive Correspondence Scoring for Unsupervised Medical Image RegistrationEuropean Conference on Computer Vision (ECCV), 2023
Xiaoran Zhang
J. Stendahl
Lawrence H. Staib
Albert J Sinusas
Alex Wong
James S. Duncan
OOD
293
5
0
01 Dec 2023
Heteroscedastic Uncertainty Estimation Framework for Unsupervised
  Registration
Heteroscedastic Uncertainty Estimation Framework for Unsupervised RegistrationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Xiaoran Zhang
Daniel H. Pak
S. Ahn
Xiaoxiao Li
Chenyu You
Lawrence H. Staib
Albert J Sinusas
Alex Wong
James S. Duncan
UQCV
285
13
0
01 Dec 2023
Semi-supervised Semantic Segmentation via Boosting Uncertainty on
  Unlabeled Data
Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data
Daoan Zhang
Yunhao Luo
Jiang Zhang
UQCV
311
0
0
30 Nov 2023
On the Calibration of Human Pose Estimation
On the Calibration of Human Pose Estimation
Kerui Gu
Rongyu Chen
Angela Yao
273
10
0
28 Nov 2023
Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using
  Stochastic Scale
Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale
Soyed Tuhin Ahmed
K. Danouchi
Michael Hefenbrock
G. Prenat
L. Anghel
M. Tahoori
UQCVBDL
207
7
0
27 Nov 2023
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted
  Corrections for Reliable Regression on Imbalanced Electrocardiograms
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms
Uddeshya Upadhyay
S. Bade
Arjun Puranik
S. Asfahan
Melwin Babu
...
S. Asirvatham
Ashim Prasad
A. Rajasekharan
S. Awasthi
R. Barve
OOD
174
5
0
23 Nov 2023
Class Uncertainty: A Measure to Mitigate Class Imbalance
Class Uncertainty: A Measure to Mitigate Class Imbalance
Z. S. Baltaci
K. Oksuz
S. Kuzucu
K. Tezoren
B. K. Konar
A. Ozkan
Emre Akbas
Sinan Kalkan
437
5
0
23 Nov 2023
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with
  Multi-Axis Fusion
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis FusionIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Ivo M. Baltruschat
Parvaneh Janbakhshi
Melanie Dohmen
Matthias Lenga
MedIm
213
2
0
20 Nov 2023
Leveraging Uncertainty Estimates To Improve Classifier Performance
Leveraging Uncertainty Estimates To Improve Classifier Performance
Gundeep Arora
S. Merugu
Anoop Saladi
R. Rastogi
246
1
0
20 Nov 2023
Estimating Uncertainty in Landslide Segmentation Models
Estimating Uncertainty in Landslide Segmentation Models
S. Nagendra
Chaopeng Shen
Daniel Kifer
UQCV
130
4
0
18 Nov 2023
Multimodal Indoor Localization Using Crowdsourced Radio Maps
Multimodal Indoor Localization Using Crowdsourced Radio Maps
Zhaoguang Yi
Xiangyu Wen
Qiyue Xia
Peize Li
F. Zampella
Firas Alsehly
Chris Xiaoxuan Lu
206
2
0
17 Nov 2023
Enhancing the Reliability of Segment Anything Model for Auto-Prompting
  Medical Image Segmentation with Uncertainty Rectification
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
Yichi Zhang
Shiyao Hu
Sijie Ren
Chen Jiang
Yuan Cheng
Yuan Qi
MedIm
366
12
0
17 Nov 2023
Using Cooperative Game Theory to Prune Neural Networks
Using Cooperative Game Theory to Prune Neural Networks
M. Diaz-Ortiz
Benjamin Kempinski
Daphne Cornelisse
Yoram Bachrach
Tal Kachman
332
2
0
17 Nov 2023
On the Overconfidence Problem in Semantic 3D Mapping
On the Overconfidence Problem in Semantic 3D Mapping
J. M. C. Marques
Albert Zhai
Shenlong Wang
Kris K. Hauser
3DPC
244
9
0
16 Nov 2023
On the Quantification of Image Reconstruction Uncertainty without
  Training Data
On the Quantification of Image Reconstruction Uncertainty without Training Data
Sirui Bi
Victor Fung
Jiaxin Zhang
203
5
0
16 Nov 2023
Introducing an Improved Information-Theoretic Measure of Predictive
  Uncertainty
Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty
Kajetan Schweighofer
L. Aichberger
Mykyta Ielanskyi
Sepp Hochreiter
185
18
0
14 Nov 2023
A Survey of Confidence Estimation and Calibration in Large Language
  Models
A Survey of Confidence Estimation and Calibration in Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Fauzan Farooqui
Fengyu Cai
Yuxia Wang
Heinz Koeppl
Preslav Nakov
Iryna Gurevych
UQCV
494
165
0
14 Nov 2023
NDDepth: Normal-Distance Assisted Monocular Depth Estimation and
  Completion
NDDepth: Normal-Distance Assisted Monocular Depth Estimation and CompletionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Shuwei Shao
Zhongcai Pei
Weihai Chen
Peter C. Y. Chen
Zhengguo Li
259
18
0
13 Nov 2023
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