Deep Deterministic Uncertainty for Semantic Segmentation

29 October 2021

Jishnu Mukhoti

Joost R. van Amersfoort

Papers citing "Deep Deterministic Uncertainty for Semantic Segmentation"

23 / 23 papers shown

Title
Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation Yuxuan Qi L. Lin Jiajun Wang Jingya Zhang Bin Zhang EDL MedIm 48 0 0 03 Jan 2025
Uncertainty Estimation for 3D Object Detection via Evidential Learning N. Durasov Rafid Mahmood Jiwoong Choi Marc T. Law James Lucas Pascal Fua Jose M. Alvarez UQCV EDL 3DPC 47 1 0 31 Oct 2024
Bayesian Active Learning for Semantic Segmentation Sima Didari Wenjun Hu Jae Oh Woo Heng Hao Hankyu Moon Seungjai Min 44 0 0 03 Aug 2024
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild Weining Ren Zihan Zhu Boyang Sun Jiaqi Chen Marc Pollefeys Songyou Peng 21 31 0 29 May 2024
Enabling Uncertainty Estimation in Iterative Neural Networks N. Durasov Doruk Öner Jonathan Donier Hieu M. Le Pascal Fua UQCV 35 8 0 25 Mar 2024
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting Edgar Medina Leyong Loh Namrata Gurung Kyung Hun Oh Niels Heller 3DH 26 3 0 21 Feb 2024
Predictive Uncertainty Quantification via Risk Decompositions for Strictly Proper Scoring Rules Nikita Kotelevskii Maxim Panov PER UQCV UD 22 3 0 16 Feb 2024
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation Kim-Celine Kahl Carsten T. Lüth M. Zenk Klaus Maier-Hein Paul F. Jaeger UQCV 22 16 0 16 Jan 2024
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 16 36 0 02 Aug 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Camara Gomes Marco Romanelli Georg Pichler Pablo Piantanida UQCV 25 5 0 02 Jun 2023
ProPanDL: A Modular Architecture for Uncertainty-Aware Panoptic Segmentation Jacob Deery Chang Won Lee Steven Waslander 8 2 0 17 Apr 2023
Uncertainty estimation in Deep Learning for Panoptic segmentation Michael J. Smith F. Ferrie OOD UQCV 14 0 0 04 Apr 2023
Robust Fusion for Bayesian Semantic Mapping David Morilla-Cabello Lorenzo Mur-Labadia Ruben Martinez-Cantin Eduardo Montijano 31 11 0 14 Mar 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang H. Fu UQCV 32 85 0 16 Feb 2023
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty K. Zou Yidi Chen Ling Huang Xuedong Yuan Xiaojing Shen Meng Wang Rick Siow Mong Goh Yong-Jin Liu H. Fu UQCV 23 4 0 01 Jan 2023
Uncertainty in Real-Time Semantic Segmentation on Embedded Systems Ethan Goan Clinton Fookes UQCV 8 4 0 20 Dec 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 15 10 0 21 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
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection Xiongjie Chen Yunpeng Li Yongxin Yang UQCV OODD 14 3 0 26 Jun 2022
TBraTS: Trusted Brain Tumor Segmentation Ke Zou Xuedong Yuan Xiaojing Shen Meng Wang H. Fu UQCV OOD 16 54 0 19 Jun 2022
DEBOSH: Deep Bayesian Shape Optimization N. Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 27 15 0 28 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015