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

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

16 / 16 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 359 5 0 03 Jan 2025
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers Hong Jia Young D. Kwon Dong Ma Nhat Pham Lorena Qendro Tam N. Vu Cecilia Mascolo 109 4 0 14 Feb 2024
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation Shyam Nandan Rai Fabio Cermelli Barbara Caputo Carlo Masone ISeg ViT 118 9 0 08 Sep 2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation J. Ackermann Daniel Gehrig Feng Yu ISeg 166 29 0 26 May 2023
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 92 4 0 30 Aug 2022
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition Matej Grcić Petra Bevandić Sinivsa vSegvić 88 57 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 115 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 125 0 0 27 Jun 2022
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression Xuanlong Yu Gianni Franchi Emanuel Aldea UQCV 109 2 0 24 Feb 2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs Philipp Oberdiek G. Fink Matthias Rottmann OODD 201 19 0 31 Jan 2022
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker 67 5 0 28 Apr 2021
Dense outlier detection and open-set recognition based on training with noisy negative images Petra Bevandić Ivan Kreso Marin Orsic Sinisa Segvic 112 30 0 22 Jan 2021
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch BDL UQCV 155 30 0 04 Dec 2020
Dense open-set recognition with synthetic outliers generated by Real NVP Matej Grcić Petra Bevandić Sinisa Segvic 97 43 0 22 Nov 2020
Hierarchical Gaussian Processes with Wasserstein-2 Kernels S. Popescu D. Sharp James H. Cole Ben Glocker 154 5 0 28 Oct 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 115 48 0 10 Jul 2020