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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
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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
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
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?
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
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
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
Choubo Ding
Guansong Pang
OODD
VLM
100
4
0
03 Jun 2024
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
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
Xinyi Chen
Yaohui Li
Haoxing Chen
OODD
33
2
0
25 May 2024
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
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
Harit Vishwakarma
Heguang Lin
Ramya Korlakai Vinayak
OODD
63
7
0
25 Apr 2024
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?
Galadrielle Humblot-Renaux
Sergio Escalera
T. Moeslund
OODD
UQCV
NoLa
67
5
0
02 Apr 2024
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
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
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
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
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
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
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?
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
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
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
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
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
Luzhi Wang
Dongxiao He
He Zhang
Yixin Liu
Wenjie Wang
Shirui Pan
Di Jin
Tat-Seng Chua
OODD
OOD
64
13
0
10 Jan 2024
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
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
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
Yi-Fan Zhang
Xue Wang
Tian Zhou
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTA
OODD
63
4
0
28 Nov 2023
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
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
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
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
Daiki E. Matsunaga
Jongmin Lee
Jaeseok Yoon
Stefanos Leonardos
Pieter Abbeel
Kee-Eung Kim
OODD
OffRL
57
5
0
03 Nov 2023
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
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
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
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
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
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?
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
Kai Xu
Rongyu Chen
Gianni Franchi
Angela Yao
OODD
92
42
0
30 Sep 2023
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
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
Zhitong Gao
Shipeng Yan
Xuming He
OOD
OODD
72
12
0
12 Sep 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
Hualiang Wang
Yi Li
Huifeng Yao
Xuelong Li
VLM
OODD
112
107
0
23 Aug 2023
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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