Evaluating Bayesian Deep Learning Methods for Semantic Segmentation

30 November 2018

Papers citing "Evaluating Bayesian Deep Learning Methods for Semantic Segmentation"

36 / 36 papers shown

Title
Panoramic Out-of-Distribution Segmentation Mengfei Duan Kailun Yang Y. Zhang Yihong Cao Fei Teng Kai Luo Jiaming Zhang Zhiyong Li Shutao Li 52 0 0 06 May 2025
Open-set Anomaly Segmentation in Complex Scenarios Song Xia Yi Yu Henghui Ding Wenhan Yang S. Liu Alex C. Kot Xudong Jiang DiffM 50 0 0 28 Apr 2025
On the Generalization of Representation Uncertainty in Earth Observation Spyros Kondylatos N. Bountos Dimitrios Michail Xiao Xiang Zhu Gustau Camps-Valls Ioannis Papoutsis 66 1 0 10 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 78 2 0 04 Mar 2025
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout Tal Zeevi Lawrence H. Staib J. Onofrey OOD UQCV 48 0 0 20 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu J. Zhang Y. Wang C. Zhao 56 3 0 03 Jan 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 79 1 0 25 Nov 2024
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network Tianyu Xiong Skylar W. Wurster Hanqi Guo Tom Peterka Han-Wei Shen UQCV 46 1 0 26 Jul 2024
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
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 47 1 0 22 Jan 2024
Favour: FAst Variance Operator for Uncertainty Rating Thomas Dybdahl Ahle Sahar Karimi Peter Tak Peter Tang BDL 19 0 0 21 Nov 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection Jiaqian Ren Hao Peng Lei Jiang Zhiwei Liu Jia Wu Zhengtao Yu Phillp S. Yu 18 13 0 30 Oct 2023
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
Robust Fusion for Bayesian Semantic Mapping David Morilla-Cabello Lorenzo Mur-Labadia Ruben Martinez-Cantin Eduardo Montijano 31 11 0 14 Mar 2023
Deep Monocular Hazard Detection for Safe Small Body Landing Travis Driver Kento Tomita Koki Ho Panagiotis Tsiotras 13 1 0 30 Jan 2023
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios Liangzu Peng Jun Li Wenbo Shao Hong Wang 23 9 0 07 Nov 2022
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS Rishabh Singh José C. Príncipe UQCV 19 3 0 03 Nov 2022
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 27 19 0 05 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 28 117 0 05 Oct 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 38 107 0 15 Jun 2022
Hyperbolic Uncertainty Aware Semantic Segmentation Bike Chen Wei Peng Xiaofeng Cao Juha Roning UQCV 16 15 0 16 Mar 2022
Hyperbolic Image Segmentation Mina Ghadimi Atigh Julian Schoep Erman Acar N. V. Noord Pascal Mettes 35 85 0 11 Mar 2022
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 19 58 0 03 Nov 2021
Deep Deterministic Uncertainty for Semantic Segmentation Jishnu Mukhoti Joost R. van Amersfoort Philip H. S. Torr Y. Gal BDL UQCV 31 28 0 29 Oct 2021
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation Kürsat Petek Kshitij Sirohi Daniel Buscher Wolfram Burgard UQCV 38 24 0 20 Oct 2021
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 1,108 0 07 Jul 2021
Revisiting Self-Supervised Monocular Depth Estimation Ue-Hwan Kim Jong-Hwan Kim SSL MDE 28 7 0 23 Mar 2021
Contextual Dropout: An Efficient Sample-Dependent Dropout Module Xinjie Fan Shujian Zhang Korawat Tanwisuth Xiaoning Qian Mingyuan Zhou OOD BDL UQCV 14 27 0 06 Mar 2021
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving Florian Heidecker Jasmin Breitenstein Kevin Rösch Jonas Löhdefink Maarten Bieshaar Christoph Stiller Tim Fingscheidt Bernhard Sick 10 40 0 05 Mar 2021
Perceiving Humans: from Monocular 3D Localization to Social Distancing Lorenzo Bertoni S. Kreiss Alexandre Alahi 31 33 0 01 Sep 2020
TRADI: Tracking deep neural network weight distributions for uncertainty estimation Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch UQCV 12 51 0 24 Dec 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation Lorenzo Bertoni S. Kreiss Alexandre Alahi UQCV 17 117 0 14 Jun 2019
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes R. Krishnan Mahesh Subedar Omesh Tickoo BDL 15 46 0 12 Jun 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks Alessandro Giusti D. Ciresan Jonathan Masci L. Gambardella Jürgen Schmidhuber 144 348 0 07 Feb 2013