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Discriminative out-of-distribution detection for semantic segmentation

Discriminative out-of-distribution detection for semantic segmentation

23 August 2018
Petra Bevandić
Ivan Kreso
Marin Orsic
Sinisa Segvic
ArXivPDFHTML

Papers citing "Discriminative out-of-distribution detection for semantic segmentation"

15 / 15 papers shown
Title
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang
Bin Liang
An Liu
Lin Gui
Xingkai Yao
Xiaofang Zhang
OODD
69
3
0
18 Apr 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Yuhan Chen
Yihong Luo
Yifan Song
Pengwen Dai
Jing Tang
Xiaochun Cao
OODD
46
1
0
25 Feb 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
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
61
3
0
03 Jan 2025
Advancing Out-of-Distribution Detection through Data Purification and
  Dynamic Activation Function Design
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
Yingrui Ji
Yao Zhu
Zhigang Li
Jiansheng Chen
Yun-long Kong
Jingbo Chen
OODD
40
0
0
06 Mar 2024
Training Ensembles with Inliers and Outliers for Semi-supervised Active
  Learning
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning
Vladan Stojnić
Zakaria Laskar
Giorgos Tolias
31
0
0
07 Jul 2023
Out-of-Distribution Detection with Deep Nearest Neighbors
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
19
487
0
13 Apr 2022
Training OOD Detectors in their Natural Habitats
Training OOD Detectors in their Natural Habitats
Julian Katz-Samuels
Julia B. Nakhleh
Robert D. Nowak
Yixuan Li
OODD
24
89
0
07 Feb 2022
Provable Guarantees for Understanding Out-of-distribution Detection
Provable Guarantees for Understanding Out-of-distribution Detection
Peyman Morteza
Yixuan Li
OODD
30
86
0
01 Dec 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic
  Space
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
Rui Huang
Yixuan Li
OODD
36
235
0
05 May 2021
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
71
1,290
0
08 Oct 2020
Self-supervised Robust Object Detectors from Partially Labelled Datasets
Self-supervised Robust Object Detectors from Partially Labelled Datasets
Mahdieh Abbasi
D. Laurendeau
Christian Gagné
ObjD
11
3
0
23 May 2020
Utilizing Network Properties to Detect Erroneous Inputs
Utilizing Network Properties to Detect Erroneous Inputs
Matt Gorbett
Nathaniel Blanchard
AAML
16
6
0
28 Feb 2020
Scaling Out-of-Distribution Detection for Real-World Settings
Scaling Out-of-Distribution Detection for Real-World Settings
Dan Hendrycks
Steven Basart
Mantas Mazeika
Andy Zou
Joe Kwon
Mohammadreza Mostajabi
Jacob Steinhardt
D. Song
OODD
15
455
0
25 Nov 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
31
1,449
0
11 Dec 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 2016
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