One Versus all for deep Neural Network Incertitude (OVNNI)
quantification

One Versus all for deep Neural Network Incertitude (OVNNI) quantification

1 June 2020

Séverine Dubuisson

Papers citing "One Versus all for deep Neural Network Incertitude (OVNNI) quantification"

13 / 13 papers shown

Title
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jing Zhang Yun Wang C. Zhao 74 3 0 03 Jan 2025
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation Shyam Nandan Rai Fabio Cermelli Barbara Caputo Carlo Masone ISeg ViT 40 5 0 08 Sep 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Daniel Gehrig Feng Yu ISeg 57 23 0 26 May 2023
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 31 4 0 30 Aug 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 42 54 0 06 Jul 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier Bartosz Wójcik J. Grela Marek Śmieja Krzysztof Misztal Jacek Tabor UQCV 51 4 0 28 Jun 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 59 0 0 27 Jun 2022
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression Xuanlong Yu Gianni Franchi Emanuel Aldea UQCV 48 2 0 24 Feb 2022
Dense open-set recognition with synthetic outliers generated by Real NVP Matej Grcić Petra Bevandić Sinisa Segvic 34 40 0 22 Nov 2020
Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks Shreyas Padhy Zachary Nado Jie Jessie Ren J. Liu Jasper Snoek Balaji Lakshminarayanan UQCV 24 45 0 10 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 315 5,726 0 05 Dec 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 261 2,064 0 07 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 305 9,202 0 06 Jun 2015