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Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

8 June 2017
Shiyu Liang
Yixuan Li
R. Srikant
    UQCV
    OODD
ArXivPDFHTML

Papers citing "Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks"

50 / 479 papers shown
Title
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data
Chuanxing Geng
Qifei Li
Xinrui Wang
Dong Liang
Songcan Chen
Pong C. Yuen
27
0
0
19 May 2025
Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
Shirin Shoushtari
Edward P. Chandler
M. Salman Asif
Ulugbek S. Kamilov
DiffM
30
0
0
16 May 2025
Open-set Anomaly Segmentation in Complex Scenarios
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
Shixuan Liu
Alex C. Kot
Xudong Jiang
DiffM
57
0
0
28 Apr 2025
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Lars Ullrich
Zurab Mujirishvili
Knut Graichen
63
0
0
25 Apr 2025
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection
Brian K. S. Isaac-Medina
T. Breckon
OODD
249
0
0
25 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang
Bin Liang
An Liu
Lin Gui
Xingkai Yao
Xiaofang Zhang
OODD
80
4
0
18 Apr 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
Bin Zhang
Xiaoyang Qu
Guokuan Li
Jiguang Wan
Jianzong Wang
VLM
59
0
0
28 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
Yu Wang
Junxian Mu
Hongzhi Huang
Qilong Wang
Pengfei Zhu
Q. Hu
60
0
0
22 Mar 2025
MetaSel: A Test Selection Approach for Fine-tuned DNN Models
MetaSel: A Test Selection Approach for Fine-tuned DNN Models
Amin Abbasishahkoo
Mahboubeh Dadkhah
Lionel C. Briand
Dayi Lin
54
0
0
21 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
79
0
0
19 Mar 2025
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
Yue Hou
He Zhu
Ruomei Liu
Yingke Su
Jinxiang Xia
Junran Wu
Ke Xu
OODD
116
0
0
13 Mar 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection
Yu Liu
Hao Tang
Haiqi Zhang
Jing Qin
Zechao Li
OODD
69
0
0
09 Mar 2025
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
70
0
0
01 Mar 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
Hugo Lyons Keenan
S. Erfani
Christopher Leckie
OODD
217
0
0
27 Feb 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Yuhan Chen
Yihong Luo
Yifan Song
Pengwen Dai
Jing Tang
Xiaochun Cao
OODD
53
2
0
25 Feb 2025
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Giulia Di Teodoro
F. Siciliano
V. Guarrasi
A. Vandamme
Valeria Ghisetti
Anders Sönnerborg
Maurizio Zazzi
Fabrizio Silvestri
L. Palagi
77
8
0
24 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Ruiyao Xu
Kaize Ding
68
5
0
17 Feb 2025
Representation Learning on Out of Distribution in Tabular Data
Representation Learning on Out of Distribution in Tabular Data
Achmad Ginanjar
Xue Li
Priyanka Singh
Wen Hua
LMTD
245
0
0
14 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
206
2
0
09 Feb 2025
Interpretable Failure Detection with Human-Level Concepts
Interpretable Failure Detection with Human-Level Concepts
Kien X. Nguyen
Tang Li
Xi Peng
53
0
0
07 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
49
1
0
05 Feb 2025
Topology of Out-of-Distribution Examples in Deep Neural Networks
Topology of Out-of-Distribution Examples in Deep Neural Networks
Esha Datta
Johanna Hennig
Eva Domschot
Connor Mattes
Michael R. Smith
74
0
0
21 Jan 2025
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models
SimLabel: Consistency-Guided OOD Detection with Pretrained Vision-Language Models
Shu Zou
Xinyu Tian
Qinyu Zhao
Zhaoyuan Yang
Jing Zhang
VLM
49
0
0
20 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODD
AAML
247
0
0
20 Jan 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
Philip Enevoldsen
Christian Gundersen
Nico Lang
Serge Belongie
Christian Igel
72
1
0
03 Jan 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Yuanpeng Tu
Yuxi Li
Boshen Zhang
Liang Liu
Jun Zhang
Yuran Wang
C. Zhao
66
3
0
03 Jan 2025
Pretraining with random noise for uncertainty calibration
Pretraining with random noise for uncertainty calibration
Jeonghwan Cheon
Se-Bum Paik
OnRL
56
0
0
23 Dec 2024
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation
Burak Ekim
G. Tadesse
Caleb Robinson
G. Q. Hacheme
Michael Schmitt
Rahul Dodhia
J. L. Ferres
OODD
111
1
0
18 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
96
14
0
09 Dec 2024
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
Xiaofeng Tan
Hongsong Wang
Xin Geng
Liang Wang
DiffM
AAML
VGen
101
0
0
04 Dec 2024
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects
Zizhao Li
Zhengkang Xiang
Joseph West
Kourosh Khoshelham
ObjD
VLM
105
1
0
27 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
Sara Pohland
Claire Tomlin
UQCV
81
1
0
22 Nov 2024
Going Beyond Conventional OOD Detection
Sudarshan Regmi
OODD
72
1
0
16 Nov 2024
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
Aitor Martinez-Seras
Javier Del Ser
Alain Andres
Pablo García Bringas
Pablo Garcia-Bringas
OODD
45
0
0
07 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for
  Out-of-Distribution Detection
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection
Jingyao Geng
Yuan Zhang
Jiaqi Huang
Feng Xue
Falong Tan
Chuanlong Xie
Shumei Zhang
OODD
48
0
0
03 Nov 2024
LEGO-Learn: Label-Efficient Graph Open-Set Learning
LEGO-Learn: Label-Efficient Graph Open-Set Learning
Haoyan Xu
Kay Liu
Zhengtao Yao
Philip S. Yu
Mengyuan Li
Yue Zhao
Yue Zhao
OODD
68
6
0
21 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
232
0
0
19 Oct 2024
Open World Object Detection: A Survey
Open World Object Detection: A Survey
Yiming Li
Yi Wang
Wenqian Wang
Dan Lin
Bingbing Li
Kim-Hui Yap
ObjD
50
0
0
15 Oct 2024
Process Reward Model with Q-Value Rankings
Process Reward Model with Q-Value Rankings
W. Li
Yixuan Li
LRM
62
15
0
15 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained
  Vision-Language Models
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models
Mengyuan Chen
Junyu Gao
Changsheng Xu
VLM
OODD
35
1
0
11 Oct 2024
Multi-Robot Motion Planning with Diffusion Models
Multi-Robot Motion Planning with Diffusion Models
Yorai Shaoul
Itamar Mishani
Shivam Vats
Jiaoyang Li
Maxim Likhachev
DiffM
53
6
0
04 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
69
0
0
02 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
75
3
0
18 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Xiang Fang
Arvind Easwaran
B. Genest
41
4
0
16 Sep 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Junkun Chen
Jilin Mei
Liang Chen
Fangzhou Zhao
Yu Hu
Yu Hu
ObjD
50
0
0
09 Sep 2024
Can OOD Object Detectors Learn from Foundation Models?
Can OOD Object Detectors Learn from Foundation Models?
Jiahui Liu
Xin Wen
Shizhen Zhao
Yukang Chen
Xiaojuan Qi
OODD
48
2
0
08 Sep 2024
Logit Scaling for Out-of-Distribution Detection
Logit Scaling for Out-of-Distribution Detection
Andrija Djurisic
Rosanne Liu
Mladen Nikolic
OODD
53
1
0
02 Sep 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph
  Out-of-Distribution Detection
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection
Junwei He
Qianqian Xu
Yangbangyan Jiang
Zitai Wang
Yuchen Sun
Qingming Huang
OODD
48
0
0
31 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
50
1
0
16 Jul 2024
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution
  Detection
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection
Lars Doorenbos
Raphael Sznitman
Pablo Márquez-Neila
52
1
0
04 Jul 2024
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