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Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD
  Training Data Estimate a Combination of the Same Core Quantities

Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

20 June 2022
Julian Bitterwolf
Alexander Meinke
Maximilian Augustin
Matthias Hein
    OODD
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Papers citing "Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities"

21 / 21 papers shown
Title
A margin-based replacement for cross-entropy loss
A margin-based replacement for cross-entropy loss
Michael W. Spratling
Heiko H. Schütt
68
0
0
21 Jan 2025
Concept Matching with Agent for Out-of-Distribution Detection
Concept Matching with Agent for Out-of-Distribution Detection
YuXiao Lee
Xiaofeng Cao
Jingcai Guo
Wei Ye
Qing-Wu Guo
Yi Chang
66
0
0
08 Jan 2025
What If the Input is Expanded in OOD Detection?
What If the Input is Expanded in OOD Detection?
Boxuan Zhang
Jianing Zhu
Zengmao Wang
Tongliang Liu
Bo Du
Bo Han
AAML
OODD
26
0
0
24 Oct 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Kai-Chun Liu
Zhihang Fu
Sheng Jin
Chao Chen
Ze Chen
Rongxin Jiang
Fan Zhou
Yao-Shen Chen
Jieping Ye
OODD
49
0
0
23 Jul 2024
Improving Out-of-Distribution Detection by Combining Existing Post-hoc
  Methods
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
Paul Novello
Yannick Prudent
Joseba Dalmau
Corentin Friedrich
Y. Pequignot
OODD
37
1
0
09 Jul 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Revisiting Confidence Estimation: Towards Reliable Failure Prediction
Fei Zhu
Xu-Yao Zhang
Zhen Cheng
Cheng-Lin Liu
UQCV
49
10
0
05 Mar 2024
Incremental Object-Based Novelty Detection with Feedback Loop
Incremental Object-Based Novelty Detection with Feedback Loop
Simone Caldarella
Elisa Ricci
Rahaf Aljundi
39
0
0
15 Nov 2023
Learning to Augment Distributions for Out-of-Distribution Detection
Learning to Augment Distributions for Out-of-Distribution Detection
Qizhou Wang
Zhen Fang
Yonggang Zhang
Feng Liu
Yixuan Li
Bo Han
OODD
30
34
0
03 Nov 2023
Redesigning Out-of-Distribution Detection on 3D Medical Images
Redesigning Out-of-Distribution Detection on 3D Medical Images
A. Vasiliuk
Daria Frolova
Mikhail Belyaev
B. Shirokikh
OOD
34
5
0
07 Aug 2023
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Wenyu Jiang
Hao Cheng
Mingcai Chen
Chongjun Wang
Hongxin Wei
OOD
OODD
24
9
0
03 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
Julian Bitterwolf
Maximilian Müller
Matthias Hein
OODD
19
83
0
01 Jun 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection
OpenMix: Exploring Outlier Samples for Misclassification Detection
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
31
32
0
30 Mar 2023
Calibrated Out-of-Distribution Detection with a Generic Representation
Calibrated Out-of-Distribution Detection with a Generic Representation
Tomás Vojír
Jan Sochman
Rahaf Aljundi
Juan E. Sala Matas
OODD
UQCV
19
6
0
23 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation
Out-of-distribution Detection with Implicit Outlier Transformation
Qizhou Wang
Junjie Ye
Feng Liu
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
149
45
0
09 Mar 2023
Rule-based Out-Of-Distribution Detection
Rule-based Out-Of-Distribution Detection
Giacomo De Bernardi
Sara Narteni
E. Cambiaso
Maurizio Mongelli
OODD
33
3
0
03 Mar 2023
Average of Pruning: Improving Performance and Stability of
  Out-of-Distribution Detection
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
Zhen Cheng
Fei Zhu
Xu-Yao Zhang
Cheng-Lin Liu
MoMe
OODD
40
11
0
02 Mar 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks
Energy-based Out-of-Distribution Detection for Graph Neural Networks
Qitian Wu
Yiting Chen
Chenxiao Yang
Junchi Yan
OODD
24
57
0
06 Feb 2023
Plugin estimators for selective classification with out-of-distribution
  detection
Plugin estimators for selective classification with out-of-distribution detection
Harikrishna Narasimhan
A. Menon
Wittawat Jitkrittum
Surinder Kumar
OODD
30
4
0
29 Jan 2023
Delving into Out-of-Distribution Detection with Vision-Language
  Representations
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming
Ziyan Cai
Jiuxiang Gu
Yiyou Sun
W. Li
Yixuan Li
VLM
OODD
45
157
0
24 Nov 2022
Provably Robust Detection of Out-of-distribution Data (almost) for free
Provably Robust Detection of Out-of-distribution Data (almost) for free
Alexander Meinke
Julian Bitterwolf
Matthias Hein
OODD
27
22
0
08 Jun 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
1