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

15 March 2017

Alex Kendall

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

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Title
UAP-BEV: Uncertainty Aware Planning using Bird's Eye View generated from Surround Monocular Images Vikrant Dewangan Basant Sharma Tushar Choudhary Sarthak Sharma Aakash Aanegola Ashutosh Kumar Singh K. M. Krishna 11 3 0 08 Jun 2023
A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip Arthroplasty Kaiwen Zhang Ziyang Gan Dong Liu X. Shang 37 0 0 07 Jun 2023
Learning Probabilistic Coordinate Fields for Robust Correspondences Weiyue Zhao Hao Lu Xinyi Ye Zhiguo Cao Xin Li 32 6 0 07 Jun 2023
Quantification of Uncertainties in Deep Learning-based Environment Perception Marco Braun Moritz Luszek Jan Siegemund Kevin Kollek A. Kummert UQCV EDL 23 4 0 05 Jun 2023
Gibbs Sampling the Posterior of Neural Networks Giovanni Piccioli Emanuele Troiani Lenka Zdeborová 46 2 0 05 Jun 2023
Multiple output samples per input in a single-output Gaussian process J. H. M. Wong Huayun Zhang Nancy F. Chen GP 18 2 0 05 Jun 2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation Haochen Wang Yuchao Wang Yujun Shen Junsong Fan Yuxi Wang Zhaoxiang Zhang UQCV 40 10 0 04 Jun 2023
Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model Lingfeng Shen Haiyun Jiang Lemao Liu Shuming Shi 21 2 0 04 Jun 2023
Probabilistic Concept Bottleneck Models Eunji Kim Dahuin Jung Sangha Park Siwon Kim Sung-Hoon Yoon 14 65 0 02 Jun 2023
dugMatting: Decomposed-Uncertainty-Guided Matting Jiawei Wu Changqing Zhang Zuoyong Li Huazhu Fu Xi Peng Qiufeng Wang 46 5 0 02 Jun 2023
Calibrating Multimodal Learning Huanrong Zhang Changqing Zhang Bing Wu Huazhu Fu Qiufeng Wang Q. Hu 62 17 0 02 Jun 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Alizée Pace Hugo Yèche Bernhard Schölkopf Gunnar Rätsch Guy Tennenholtz OffRL 31 6 0 01 Jun 2023
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks Ziliang Xiong Arvi Jonnarth Abdelrahman Eldesokey Joakim Johnander Bastian Wandt Per-Erik Forssén UQCV 36 3 0 01 Jun 2023
Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution Wuxuan Shi Mang Ye Bo Du 30 17 0 01 Jun 2023
Quantifying Representation Reliability in Self-Supervised Learning Models Young-Jin Park Hao Wang Shervin Ardeshir Navid Azizan SSL UQCV 41 3 0 31 May 2023
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles Michaël Fonder Marc Van Droogenbroeck 14 0 0 31 May 2023
DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model Zhixian Wang Qingsong Wen Chaoli Zhang Liang Sun Yi Wang DiffM 16 3 0 31 May 2023
Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Network Yinglin Zhang Ruiling Xi Huazhu Fu D. Towey Ruibin Bai Risa Higashita Jiang-Dong Liu 21 2 0 30 May 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution Vikrant Rangnekar Uddeshya Upadhyay Zeynep Akata Biplab Banerjee 45 4 0 27 May 2023
UMat: Uncertainty-Aware Single Image High Resolution Material Capture Carlos Rodriguez-Pardo Henar Dominguez-Elvira David Pascual-Hernández Elena Garces 32 15 0 25 May 2023
Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation Xiaofeng Liu Jerry L. Prince Fangxu Xing Jiachen Zhuo T. Reese Maureen Stone Xiaofeng Liu Jonghye Woo MedIm 41 8 0 23 May 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks Kexin Huang Ying Jin Emmanuel Candès J. Leskovec 48 59 0 23 May 2023
iCOIL: Scenario Aware Autonomous Parking Via Integrated Constrained Optimization and Imitation Learning Lexiong Huang Ruihua Han Guoliang Li He Li Shuai Wang Yang Wang Chengzhong Xu 27 0 0 23 May 2023
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods Shang Liu Zhongze Cai Xiaocheng Li 27 4 0 20 May 2023
DAC: Detector-Agnostic Spatial Covariances for Deep Local Features Javier Tirado-Garín Frederik Warburg Javier Civera 40 1 0 20 May 2023
Integrating Uncertainty into Neural Network-based Speech Enhancement Hu Fang Dennis Becker S. Wermter Timo Gerkmann UQCV 37 2 0 15 May 2023
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation Shuai Wang Zipei Yan Daoan Zhang Zhong Li Sirui Wu Wen-Xiang Chen Ruizhen Li UQCV 13 2 0 13 May 2023
A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects Leo Pauly Wassim Rharbaoui Carl Shneider A. Rathinam Vincent Gaudillière Djamila Aouada 28 45 0 12 May 2023
FusionDepth: Complement Self-Supervised Monocular Depth Estimation with Cost Volume Zhuofei Huang Jianlin Liu Shang Xu Ying Chen Yong-Jin Liu MDE 34 0 0 10 May 2023
Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation M. Hosseinzadeh A. Saha Joeran S. Bosma Henkjan Huisman 26 1 0 10 May 2023
Fully Bayesian VIB-DeepSSM Jadie Adams Shireen Y. Elhabian 19 10 0 09 May 2023
UQ for Credit Risk Management: A deep evidence regression approach Ashish Dhiman 19 0 0 08 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 38 75 0 07 May 2023
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data Yufei Li Xiao Yu Yanchi Liu Haifeng Chen Cong Liu UQCV SSL 28 6 0 05 May 2023
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion Nicholas Konz Haoyu Dong Maciej A. Mazurowski 33 2 0 04 May 2023
Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty Yuan Zhang Weihua Chen Yichen Lu Tao Huang Xiuyu Sun Jian Cao 54 8 0 04 May 2023
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data Christiaan G. A. Viviers Amaan Valiuddin Peter H. N. de With Fons van der Sommen 41 5 0 01 May 2023
Uncertainty-aware Self-supervised Learning for Cross-domain Technical Skill Assessment in Robot-assisted Surgery Ziheng Wang A. Mariani A. Menciassi Elena De Momi A. M. Fey 59 1 0 28 Apr 2023
Effect of latent space distribution on the segmentation of images with multiple annotations Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf 17 6 0 26 Apr 2023
Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation Marco Huber An Luu Philipp Terhörst Naser Damer CVBM AAML 38 14 0 26 Apr 2023
Bayesian Federated Learning: A Survey LongBing Cao Hui Chen Xuhui Fan João Gama Yew-Soon Ong Vipin Kumar FedML 31 23 0 26 Apr 2023
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer QiHao Zhao Yangyu Huang Wei Hu Fan Zhang Jing Liu ViT 22 14 0 24 Apr 2023
Informative Data Selection with Uncertainty for Multi-modal Object Detection Xuzhi Zhang Zhiwei Li Zhenhong Zou Xinchen Gao Yijin Xiong Dafeng Jin Jun Li Huaping Liu 35 5 0 23 Apr 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction Peng Cui Dan Zhang Zhijie Deng Yinpeng Dong Junyi Zhu 29 12 0 20 Apr 2023
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation Jacob Deery Chang Won Lee Steven Waslander 29 2 0 17 Apr 2023
Temporally Consistent Online Depth Estimation Using Point-Based Fusion Numair Khan Eric Penner Douglas Lanman Lei Xiao 3DPC MDE 35 9 0 15 Apr 2023
The Second Monocular Depth Estimation Challenge Jaime Spencer Chao Qian Michaela Trescakova Chris Russell Simon Hadfield ... Guangkai Xu Wei Yin Jun Yu Qi Zhang Chaoqiang Zhao MDE 37 11 0 14 Apr 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 30 2 0 14 Apr 2023
Toward Reliable Human Pose Forecasting with Uncertainty Saeed Saadatnejad Mehrshad Mirmohammadi Matin Daghyani Parham Saremi Yashar Zoroofchi Benisi Amir Alimohammadi Zahra Tehraninasab Taylor Mordan Alexandre Alahi 21 5 0 13 Apr 2023
UnCRtainTS: Uncertainty Quantification for Cloud Removal in Optical Satellite Time Series Patrick Ebel Vivien Sainte Fare Garnot M. Schmitt Jan Dirk Wegner Xiao Xiang Zhu 36 32 0 11 Apr 2023