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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 / 156 papers shown
Title
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
35
0
0
06 Mar 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
46
10
0
05 Mar 2024
Towards Out-of-Distribution Detection for breast cancer classification
  in Point-of-Care Ultrasound Imaging
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging
Jennie Karlsson
Marisa Wodrich
Niels Christian Overgaard
Freja Sahlin
Kristina Laang
Anders Heyden
Ida Arvidsson
34
0
0
29 Feb 2024
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex
Yasushi Esaki
Akihiro Nakamura
Keisuke Kawano
Ryoko Tokuhisa
Takuro Kutsuna
38
0
0
21 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A
  Cross-Field Perspective
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
Jeng-Lin Li
Chih-Fan Hsu
Ming-Ching Chang
Wei-Chao Chen
OOD
38
2
0
20 Feb 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different
  Views
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
Yuji Roh
Qingyun Liu
Huan Gui
Zhe Yuan
Yujin Tang
...
Liang Liu
Shuchao Bi
Lichan Hong
Ed H. Chi
Zhe Zhao
43
1
0
07 Feb 2024
Kernel PCA for Out-of-Distribution Detection
Kernel PCA for Out-of-Distribution Detection
Kun Fang
Qinghua Tao
Kexin Lv
M. He
Xiaolin Huang
Jie-jin Yang
OODD
46
2
0
05 Feb 2024
Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments
Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments
Vivswan Shah
Nathan Youngblood
36
2
0
04 Feb 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
70
1
0
17 Jan 2024
A Survey on Open-Set Image Recognition
A Survey on Open-Set Image Recognition
Jiaying Sun
Qiulei Dong
BDL
ObjD
30
3
0
25 Dec 2023
Managing the unknown: a survey on Open Set Recognition and tangential
  areas
Managing the unknown: a survey on Open Set Recognition and tangential areas
Marcos Barcina-Blanco
J. Lobo
Pablo Garcia-Bringas
Javier Del Ser
VLM
27
2
0
14 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum
  Out-of-Distribution Detection
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection
Fan Lu
Kai Zhu
Kecheng Zheng
Wei Zhai
Xuemiao Xu
OODD
155
4
0
04 Dec 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing
  Out-of-Distribution Detection
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection
Naveen Karunanayake
Suranga Seneviratne
Sanjay Chawla
OODD
23
1
0
23 Nov 2023
Identifying the Defective: Detecting Damaged Grains for Cereal
  Appearance Inspection
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection
Lei Fan
Yiwen Ding
Dongdong Fan
Yong Wu
M. Pagnucco
Yang Song
20
5
0
20 Nov 2023
Out-of-distribution Detection Learning with Unreliable
  Out-of-distribution Sources
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
Haotian Zheng
Qizhou Wang
Zhen Fang
Xiaobo Xia
Feng Liu
Tongliang Liu
Bo Han
149
23
0
06 Nov 2023
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting
YeXin Huang
AI4TS
25
0
0
22 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via
  Informative Extrapolation
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Jianing Zhu
Geng Yu
Jiangchao Yao
Tongliang Liu
Gang Niu
Masashi Sugiyama
Bo Han
OODD
26
30
0
21 Oct 2023
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural
  Network in Analyzing Geospatial Resilience of Multicommodity Food Flows
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows
Yuxiao Qu
Jinmeng Rao
Song Gao
Qianheng Zhang
Wei-Lun Chao
Yu-Chuan Su
Michelle Miller
Alfonso Morales
Patrick Huber
FedML
24
2
0
20 Oct 2023
Semantic Parsing by Large Language Models for Intricate Updating
  Strategies of Zero-Shot Dialogue State Tracking
Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking
Yuxiang Wu
Guanting Dong
Weiran Xu
26
3
0
16 Oct 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and
  Open-world Intent Recognition
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition
Xiaoshuai Song
Yutao Mou
Keqing He
Yueyan Qiu
Pei Wang
Weiran Xu
21
2
0
16 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection
Understanding the Feature Norm for Out-of-Distribution Detection
Jaewoo Park
Jacky Chen Long Chai
Jaeho Yoon
Andrew Beng Jin Teoh
OODD
22
12
0
09 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?
Atsuyuki Miyai
Qing Yu
Go Irie
Kiyoharu Aizawa
OODD
140
6
0
02 Oct 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection
  in Medical Tabular Data
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
20
5
0
28 Sep 2023
Generalizing Across Domains in Diabetic Retinopathy via Variational
  Autoencoders
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders
Sharon Chokuwa
M. H. Khan
23
5
0
20 Sep 2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient
  Channels
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
Henry Hengyuan Zhao
Pichao Wang
Yuyang Zhao
Hao Luo
F. Wang
Mike Zheng Shou
ViT
31
14
0
15 Sep 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network
  Intrusion Detection?
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?
Andrea Corsini
S. Yang
OODD
AAML
13
7
0
28 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold
Out-of-distribution detection using normalizing flows on the data manifold
S. Razavi
M. Mehmanchi
Reshad Hosseini
Mostafa Tavassolipour
OODD
42
0
0
26 Aug 2023
How Good Are LLMs at Out-of-Distribution Detection?
How Good Are LLMs at Out-of-Distribution Detection?
Bo Liu
Li-Ming Zhan
Zexin Lu
Yu Feng
Lei Xue
Xiao-Ming Wu
OODD
30
8
0
20 Aug 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text
  Classification Tasks
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks
M. Baran
Joanna Baran
Mateusz Wójcik
Maciej Ziȩba
Adam Gonczarek
OODD
30
4
0
13 Jul 2023
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
29
0
0
07 Jul 2023
Revisiting Stereo Triangulation in UAV Distance Estimation
Revisiting Stereo Triangulation in UAV Distance Estimation
Jiafan Zhuang
Duan Yuan
Rihong Yan
Weixin Huang
Yutao Zhou
Zhun Fan
32
0
0
15 Jun 2023
EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving
  Object
EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object
Hyunseo Kim
Hye Jung Yoon
Minji Kim
Dong-Sig Han
Byoung-Tak Zhang
16
0
0
08 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection
  Capability
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
Jianing Zhu
Hengzhuang Li
Jiangchao Yao
Tongliang Liu
Jianliang Xu
Bo Han
OODD
37
12
0
06 Jun 2023
A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
29
81
0
19 May 2023
Semantic Anomaly Detection with Large Language Models
Semantic Anomaly Detection with Large Language Models
Amine Elhafsi
Rohan Sinha
Christopher Agia
Edward Schmerling
I. Nesnas
Marco Pavone
31
64
0
18 May 2023
Unsupervised out-of-distribution detection for safer robotically guided
  retinal microsurgery
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery
Alain Jungo
Lars Doorenbos
Tommaso Da Col
Maarten J. Beelen
M. Zinkernagel
Pablo Márquez-Neila
Raphael Sznitman
OODD
23
3
0
11 Apr 2023
PAC-Based Formal Verification for Out-of-Distribution Data Detection
PAC-Based Formal Verification for Out-of-Distribution Data Detection
Mohit Prashant
Arvind Easwaran
OODD
22
1
0
04 Apr 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant
  Analysis
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis
Yiye Chen
Yunzhi Lin
Ruinian Xu
Patricio A. Vela
OODD
24
3
0
14 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
147
45
0
09 Mar 2023
Novel Class Discovery: an Introduction and Key Concepts
Novel Class Discovery: an Introduction and Key Concepts
Colin Troisemaine
V. Lemaire
Stéphane Gosselin
Alexandre Reiffers-Masson
Joachim Flocon-Cholet
Sandrine Vaton
29
21
0
22 Feb 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with
  Transfer Learning for improving their Performance and Robustness
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness
Javier Poyatos
Daniel Molina
Aitor Martínez
Javier Del Ser
Francisco Herrera
30
10
0
20 Feb 2023
Latent Class-Conditional Noise Model
Latent Class-Conditional Noise Model
Jiangchao Yao
Bo Han
Zhihan Zhou
Ya-Qin Zhang
Ivor W. Tsang
NoLa
BDL
25
8
0
19 Feb 2023
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
16
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 R. Li
Octavia Camps
Yun Fu
18
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
22
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
9
0
0
18 Jan 2023
An Upper Bound for the Distribution Overlap Index and Its Applications
An Upper Bound for the Distribution Overlap Index and Its Applications
Hao Fu
P. Krishnamurthy
S. Garg
Farshad Khorrami
VLM
19
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
21
7
0
30 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
37
157
0
24 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
46
4
0
10 Nov 2022
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