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Generalized Out-of-Distribution Detection: A Survey

Generalized Out-of-Distribution Detection: A Survey

21 October 2021
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
ArXivPDFHTML

Papers citing "Generalized Out-of-Distribution Detection: A Survey"

50 / 179 papers shown
Title
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution
  Detection
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection
Mou-Yue Huang
Yu Qiao
19
2
0
15 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey
Explainable Anomaly Detection in Images and Videos: A Survey
Yizhou Wang
Dongliang Guo
Sheng Li
Octavia Camps
Yun Fu
29
5
0
13 Feb 2023
Misspecification-robust Sequential Neural Likelihood for
  Simulation-based Inference
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
Ryan P. Kelly
David J. Nott
David T. Frazier
D. Warne
Christopher C. Drovandi
25
10
0
31 Jan 2023
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic
  Images
A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images
Zhongzheng Huang
Tao Wang
Yuanzheng Cai
Lingyu Liang
27
0
0
18 Jan 2023
A System-Level View on Out-of-Distribution Data in Robotics
A System-Level View on Out-of-Distribution Data in Robotics
Rohan Sinha
Apoorva Sharma
Somrita Banerjee
T. Lew
Rachel Luo
Spencer M. Richards
Yixiao Sun
Edward Schmerling
Marco Pavone
UQCV
41
23
0
28 Dec 2022
Structural State Translation: Condition Transfer between Civil
  Structures Using Domain-Generalization for Structural Health Monitoring
Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring
Furkan Luleci
F. Catbas
27
2
0
28 Dec 2022
When and Why Test Generators for Deep Learning Produce Invalid Inputs:
  an Empirical Study
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study
Vincenzo Riccio
Paolo Tonella
AAML
24
29
0
21 Dec 2022
An Upper Bound for the Distribution Overlap Index and Its Applications
An Upper Bound for the Distribution Overlap Index and Its Applications
Hao Fu
Prashanth Krishnamurthy
S. Garg
Farshad Khorrami
VLM
24
0
0
16 Dec 2022
Rethinking Out-of-Distribution Detection From a Human-Centric
  Perspective
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective
Yao Zhu
YueFeng Chen
Xiaodan Li
Rong Zhang
Hui Xue
Xiang Tian
Rongxin Jiang
Bo Zheng
Yao-wu Chen
OODD
27
7
0
30 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and
  Opportunities
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities
Amin Azmoodeh
Ali Dehghantanha
42
2
0
26 Nov 2022
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
47
157
0
24 Nov 2022
Towards Realistic Out-of-Distribution Detection: A Novel Evaluation
  Framework for Improving Generalization in OOD Detection
Towards Realistic Out-of-Distribution Detection: A Novel Evaluation Framework for Improving Generalization in OOD Detection
Vahid Reza Khazaie
Anthony C. Wong
Mohammad Sabokrou
OODD
18
2
0
20 Nov 2022
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting
  Algorithms under Distributional Shift
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
Defu Cao
Yousef El-Laham
Loc Trinh
Svitlana Vyetrenko
Yong Liu
26
11
0
17 Nov 2022
Denoising diffusion models for out-of-distribution detection
Denoising diffusion models for out-of-distribution detection
M. Graham
W. H. Pinaya
Petru-Daniel Tudosiu
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
38
72
0
14 Nov 2022
Improving Uncertainty-based Out-of-Distribution Detection for Medical
  Image Segmentation
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
Benjamin Lambert
Florence Forbes
Senan Doyle
A. Tucholka
M. Dojat
UQCV
OOD
58
4
0
10 Nov 2022
Is Out-of-Distribution Detection Learnable?
Is Out-of-Distribution Detection Learnable?
Zhen Fang
Yixuan Li
Jie Lu
Jiahua Dong
Bo Han
Feng Liu
OODD
32
124
0
26 Oct 2022
Pseudo-OOD training for robust language models
Pseudo-OOD training for robust language models
Dhanasekar Sundararaman
Nikhil Mehta
Lawrence Carin
25
0
0
17 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
86
60
0
07 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
Stefan Smeu
Elena Burceanu
Andrei Liviu Nicolicioiu
Emanuela Haller
35
4
0
06 Oct 2022
Improved Anomaly Detection by Using the Attention-Based Isolation Forest
Improved Anomaly Detection by Using the Attention-Based Isolation Forest
Lev V. Utkin
A. Ageev
A. Konstantinov
41
6
0
05 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X
GAPX: Generalized Autoregressive Paraphrase-Identification X
Yi Zhou
Renyu Li
Hayden Housen
Ser-Nam Lim
BDL
27
0
0
05 Oct 2022
Out-of-Distribution Detection for LiDAR-based 3D Object Detection
Out-of-Distribution Detection for LiDAR-based 3D Object Detection
Chengjie Huang
Van Duong Nguyen
Vahdat Abdelzad
Christopher Gus Mannes
Luke Rowe
Benjamin Therien
Rick Salay
Krzysztof Czarnecki
OODD
3DPC
145
18
0
28 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In
  Out-of-Distribution Detection
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAML
OODD
23
4
0
26 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
172
150
0
20 Sep 2022
Data Lifecycle Management in Evolving Input Distributions for
  Learning-based Aerospace Applications
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications
Somrita Banerjee
Apoorva Sharma
Edward Schmerling
M. Spolaor
Michael Nemerouf
Marco Pavone
17
2
0
14 Sep 2022
Fine-grain Inference on Out-of-Distribution Data with Hierarchical
  Classification
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification
Randolph Linderman
Jingyang Zhang
Nathan Inkawhich
H. Li
Yiran Chen
OODD
143
6
0
09 Sep 2022
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object
  Detection
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
Samuel Wilson
Tobias Fischer
Feras Dayoub
Dimity Miller
Niko Sünderhauf
OODD
31
29
0
29 Aug 2022
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay
Gyuhak Kim
Zixuan Ke
Bin Liu
VLM
CLL
OODD
25
29
0
20 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking
Out-of-Distribution Detection with Semantic Mismatch under Masking
Yijun Yang
Ruiyuan Gao
Qiang Xu
OODD
22
27
0
31 Jul 2022
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
R. Kaur
Kaustubh Sridhar
Sangdon Park
Susmit Jha
Anirban Roy
O. Sokolsky
Insup Lee
OODD
AI4TS
144
0
0
24 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding
  Semantic Novelty Detection on Point Clouds
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds
A. Alliegro
Francesco Cappio Borlino
Tatiana Tommasi
3DPC
3DV
30
7
0
23 Jul 2022
Augmenting Softmax Information for Selective Classification with
  Out-of-Distribution Data
Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data
Guoxuan Xia
C. Bouganis
OODD
16
27
0
15 Jul 2022
Estimating Test Performance for AI Medical Devices under Distribution
  Shift with Conformal Prediction
Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction
Charles Lu
Syed Rakin Ahmed
Praveer Singh
Jayashree Kalpathy-Cramer
OOD
25
5
0
12 Jul 2022
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines
Jo-Lan Kuan
Jonas W. Mueller
OODD
21
27
0
07 Jul 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios
Xueying Zhan
Zeyu Dai
Qingzhong Wang
Qing Li
Haoyi Xiong
Dejing Dou
Antoni B. Chan
OODD
11
3
0
04 Jul 2022
Towards out of distribution generalization for problems in mechanics
Towards out of distribution generalization for problems in mechanics
Lingxiao Yuan
Harold S. Park
Emma Lejeune
OOD
AI4CE
36
17
0
29 Jun 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier
Bartosz Wójcik
J. Grela
Marek Śmieja
Krzysztof Misztal
Jacek Tabor
UQCV
33
4
0
28 Jun 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
41
296
0
19 Jun 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain
  Adaptation
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Tao Sun
Mattia Segu
Janis Postels
Yuxuan Wang
Luc Van Gool
Bernt Schiele
F. Tombari
F. I. F. Richard Yu
TTA
41
149
0
16 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution
  Detection
READ: Aggregating Reconstruction Error into Out-of-distribution Detection
Wenyu Jiang
Yuxin Ge
Hao Cheng
Mingcai Chen
Shuai Feng
Chongjun Wang
OODD
29
10
0
15 Jun 2022
Guided Deep Metric Learning
Guided Deep Metric Learning
Jorge Gonzalez-Zapata
Iván Reyes-Amezcua
Daniel Flores-Araiza
M. Mendez-Ruiz
G. Ochoa-Ruiz
Andres Mendez-Vazquez
FedML
26
5
0
04 Jun 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data
  Augmentation
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation
Chenyang Wang
Junjun Jiang
Xiong Zhou
Xianming Liu
32
3
0
25 May 2022
How Useful are Gradients for OOD Detection Really?
How Useful are Gradients for OOD Detection Really?
Conor Igoe
Youngseog Chung
I. Char
J. Schneider
OODD
45
23
0
20 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
163
266
0
19 May 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting
It's DONE: Direct ONE-shot learning with quantile weight imprinting
Kazufumi Hosoda
Keigo Nishida
S. Seno
Tomohiro Mashita
H. Kashioka
I. Ohzawa
22
2
0
28 Apr 2022
Exploring How Anomalous Model Input and Output Alerts Affect
  Decision-Making in Healthcare
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare
Marissa Radensky
Dustin Burson
Rajya Bhaiya
Daniel S. Weld
24
0
0
27 Apr 2022
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
488
0
13 Apr 2022
Full-Spectrum Out-of-Distribution Detection
Full-Spectrum Out-of-Distribution Detection
Jingkang Yang
Kaiyang Zhou
Ziwei Liu
OODD
23
57
0
11 Apr 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and
  Adaptation
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation
Bing-Quan Liu
Sahisnu Mazumder
Eric Robertson
Scott Grigsby
CLL
AI4CE
35
21
0
17 Mar 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with
  Human-Machine Synergy
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Yuanhan Zhang
Qi Sun
Yichun Zhou
Zexin He
Zhen-fei Yin
Kunze Wang
Lu Sheng
Yu Qiao
Jing Shao
Ziwei Liu
ObjD
VLM
32
19
0
15 Mar 2022
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