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Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
v1v2v3 (latest)

Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances

18 September 2024
Shuo Lu
YingSheng Wang
Lijun Sheng
Lingxiao He
A. Zheng
Jian Liang
    OODD
ArXiv (abs)PDFHTMLGithub (45★)

Papers citing "Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances"

50 / 129 papers shown
Title
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging
Zhiwei Ling
Yachen Chang
Hailiang Zhao
Xinkui Zhao
Kingsum Chow
Shuiguang Deng
OODD
134
1
0
01 Mar 2025
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution
  Image Classification and Semantic Segmentation
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation
Alberto Bacchin
Davide Allegro
Stefano Ghidoni
Emanuele Menegatti
81
1
0
02 Sep 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning
  and Density Estimation Framework for Out-of-Distribution Detection
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection
Jinglun Li
Xinyu Zhou
Pinxue Guo
Yixuan Sun
Yiwen Huang
Weifeng Ge
Wenqiang Zhang
91
2
0
28 Aug 2024
A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?
A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?
Xinyu Liu
Shuyu Shen
Boyan Li
Peixian Ma
Runzhi Jiang
Yuxin Zhang
Ju Fan
Guoliang Li
Nan Tang
Yuyu Luo
45
32
0
09 Aug 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with
  Vision-Language Models
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
Yabin Zhang
Wenjie Zhu
Chenhang He
Lei Zhang
VLM
121
8
0
12 Jul 2024
GalLoP: Learning Global and Local Prompts for Vision-Language Models
GalLoP: Learning Global and Local Prompts for Vision-Language Models
Marc Lafon
Elias Ramzi
Clément Rambour
Nicolas Audebert
Nicolas Thome
VLM
88
11
0
01 Jul 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Choubo Ding
Guansong Pang
OODDVLM
100
4
0
03 Jun 2024
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities
Hao Dong
Yue Zhao
Eleni Chatzi
Olga Fink
OODD
82
18
0
27 May 2024
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD
  Generalization and Open-Set OOD Detection
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
Lin Zhu
Yifeng Yang
Qinying Gu
Xinbing Wang
Cheng Zhou
Nanyang Ye
VLM
99
1
0
26 May 2024
Dual-Adapter: Training-free Dual Adaptation for Few-shot
  Out-of-Distribution Detection
Dual-Adapter: Training-free Dual Adaptation for Few-shot Out-of-Distribution Detection
Xinyi Chen
Yaohui Li
Haoxing Chen
OODD
33
2
0
25 May 2024
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring
Hao Fu
Naman Patel
Prashanth Krishnamurthy
Farshad Khorrami
OODD
58
5
0
23 May 2024
Language-Enhanced Latent Representations for Out-of-Distribution
  Detection in Autonomous Driving
Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving
Zhenjiang Mao
Dong-You Jhong
Ao Wang
Ivan Ruchkin
OODD
84
2
0
02 May 2024
Taming False Positives in Out-of-Distribution Detection with Human
  Feedback
Taming False Positives in Out-of-Distribution Detection with Human Feedback
Harit Vishwakarma
Heguang Lin
Ramya Korlakai Vinayak
OODD
63
7
0
25 Apr 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection
Learning Transferable Negative Prompts for Out-of-Distribution Detection
Tianqi Li
Guansong Pang
Xiaolong Bai
Wenjun Miao
Jingyi Zheng
VLM
101
18
0
04 Apr 2024
A noisy elephant in the room: Is your out-of-distribution detector
  robust to label noise?
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise?
Galadrielle Humblot-Renaux
Sergio Escalera
T. Moeslund
OODDUQCVNoLa
67
5
0
02 Apr 2024
CLIP-driven Outliers Synthesis for few-shot OOD detection
CLIP-driven Outliers Synthesis for few-shot OOD detection
Hao Sun
Rundong He
Zhongyi Han
Zhicong Lin
Yongshun Gong
Yilong Yin
OODD
110
5
0
30 Mar 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language
  Models
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
Xue Jiang
Feng Liu
Zhengfeng Fang
Hong Chen
Tongliang Liu
Feng Zheng
Bo Han
VLM
100
34
0
29 Mar 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox
A Geometric Explanation of the Likelihood OOD Detection Paradox
Hamidreza Kamkari
Brendan Leigh Ross
Jesse C. Cresswell
Anthony L. Caterini
Rahul G. Krishnan
Gabriel Loaiza-Ganem
OODD
101
12
0
27 Mar 2024
Out-of-Distribution Detection Using Peer-Class Generated by Large
  Language Model
Out-of-Distribution Detection Using Peer-Class Generated by Large Language Model
K. Huang
G. Song
Hanwen Su
Jiyan Wang
OODD
67
1
0
20 Mar 2024
COOD: Combined out-of-distribution detection using multiple measures for
  anomaly & novel class detection in large-scale hierarchical classification
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification
L. E. Hogeweg
R. Gangireddy
D. Brunink
Vincent J. Kalkman
L. Cornelissen
J. W. Kamminga
OODD
57
6
0
11 Mar 2024
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
Bo Peng
Yadan Luo
Yonggang Zhang
Yixuan Li
Zhen Fang
64
14
0
27 Feb 2024
EndoOOD: Uncertainty-aware Out-of-distribution Detection in Capsule
  Endoscopy Diagnosis
EndoOOD: Uncertainty-aware Out-of-distribution Detection in Capsule Endoscopy Diagnosis
Qiaozhi Tan
Long Bai
Guan-Feng Wang
Mobarakol Islam
Hongliang Ren
45
6
0
18 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
Xuefeng Du
Zhen Fang
Ilias Diakonikolas
Yixuan Li
OODD
76
29
0
05 Feb 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Haodong Lu
Dong Gong
Shuo Wang
Jason Xue
Lina Yao
Kristen Moore
OODD
128
27
0
05 Feb 2024
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
Quang-Huy Nguyen
Jin Peng Zhou
Zhenzhen Liu
Khanh-Huyen Bui
Kilian Q. Weinberger
Wei-Lun Chao
Dung D. Le
63
1
0
05 Feb 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Chao Chen
Zhihang Fu
Kai-Chun Liu
Ze Chen
Mingyuan Tao
Jieping Ye
OODD
67
4
0
04 Feb 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution
  Detection
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
Qinyu Zhao
Ming Xu
Kartik Gupta
Akshay Asthana
Liang Zheng
Stephen Gould
OODD
34
7
0
01 Feb 2024
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
Luzhi Wang
Dongxiao He
He Zhang
Yixin Liu
Wenjie Wang
Shirui Pan
Di Jin
Tat-Seng Chua
OODDOOD
64
13
0
10 Jan 2024
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot
  Settings
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
Nikhil Mehta
Kevin J. Liang
Jing Huang
Fu-Jen Chu
Li Yin
Tal Hassner
OODD
86
2
0
22 Dec 2023
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated
  Outlier Class Learning
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
Wenjun Miao
Guansong Pang
Tianqi Li
Xiaolong Bai
Jingyi Zheng
OODD
91
15
0
17 Dec 2023
EAT: Towards Long-Tailed Out-of-Distribution Detection
EAT: Towards Long-Tailed Out-of-Distribution Detection
Tong Wei
Bo-Lin Wang
Min-Ling Zhang
OODD
70
15
0
14 Dec 2023
Model-free Test Time Adaptation for Out-Of-Distribution Detection
Model-free Test Time Adaptation for Out-Of-Distribution Detection
Yi-Fan Zhang
Xue Wang
Tian Zhou
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTAOODD
63
4
0
28 Nov 2023
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Yichen Bai
Zongbo Han
Changqing Zhang
Bing Cao
Xiaoheng Jiang
Qinghua Hu
OODD
104
21
0
26 Nov 2023
Towards Few-shot Out-of-Distribution Detection
Towards Few-shot Out-of-Distribution Detection
Jiuqing Dong
Yongbin Gao
Heng Zhou
Jun Cen
Yifan Yao
Sook Yoon
Park Dong Sun
OODD
65
2
0
20 Nov 2023
GAIA: Delving into Gradient-based Attribution Abnormality for
  Out-of-distribution Detection
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Jinggang Chen
Junjie Li
Xiaoyang Qu
Jianzong Wang
Jiguang Wan
Jing Xiao
OODD
63
10
0
16 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
217
28
0
06 Nov 2023
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline
  Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
Daiki E. Matsunaga
Jongmin Lee
Jaeseok Yoon
Stefanos Leonardos
Pieter Abbeel
Kee-Eung Kim
OODDOffRL
57
5
0
03 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
114
38
0
03 Nov 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
Sangha Park
J. Mok
Dahuin Jung
Saehyung Lee
Sung-Hoon Yoon
71
11
0
25 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
81
32
0
21 Oct 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution
  Detection
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
Yi Dai
Hao Lang
Kaisheng Zeng
Fei Huang
Yongbin Li
OODD
85
11
0
12 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection
NECO: NEural Collapse Based Out-of-distribution detection
Mouin Ben Ammar
Nacim Belkhir
Sebastian Popescu
Antoine Manzanera
Gianni Franchi
OODD
72
20
0
10 Oct 2023
Out-of-Distribution Detection by Leveraging Between-Layer Transformation
  Smoothness
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness
Fran Jelenić
Josip Jukić
Martin Tutek
Mate Puljiz
Jan vSnajder
OODD
75
6
0
04 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
199
6
0
02 Oct 2023
Scaling for Training Time and Post-hoc Out-of-distribution Detection
  Enhancement
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
Kai Xu
Rongyu Chen
Gianni Franchi
Angela Yao
OODD
92
42
0
30 Sep 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection
Nearest Neighbor Guidance for Out-of-Distribution Detection
Jaewoo Park
Yoon Gyo Jung
Andrew Beng Jin Teoh
OODD
74
36
0
26 Sep 2023
Meta OOD Learning for Continuously Adaptive OOD Detection
Meta OOD Learning for Continuously Adaptive OOD Detection
Xinheng Wu
Jie Lu
Zhen Fang
Guangquan Zhang
OODD
108
6
0
21 Sep 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution
  Detection in Segmentation
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Zhitong Gao
Shipeng Yan
Xuming He
OODOODD
72
12
0
12 Sep 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Hualiang Wang
Yi Li
Huifeng Yao
Xuelong Li
VLMOODD
112
107
0
23 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using
  Pre-trained Diffusion Models
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models
Ruiyuan Gao
Chenchen Zhao
Lanqing Hong
Q. Xu
86
18
0
15 Aug 2023
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