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  3. 1908.04951
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Unsupervised Out-of-Distribution Detection by Maximum Classifier
  Discrepancy

Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy

IEEE International Conference on Computer Vision (ICCV), 2019
14 August 2019
Qing Yu
Kiyoharu Aizawa
    OODD
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy"

50 / 105 papers shown
RankOOD -- Class Ranking-based Out-of-Distribution Detection
RankOOD -- Class Ranking-based Out-of-Distribution Detection
Dishanika Denipitiyage
Naveen Karunanayake
Suranga Seneviratne
Sanjay Chawla
OODD
238
0
0
25 Nov 2025
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
Yuanchao Wang
Tian Qin
Eduardo Valle
Bruno Abrahao
OODD
360
0
0
17 Nov 2025
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Revisiting Logit Distributions for Reliable Out-of-Distribution Detection
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
OODD
361
1
0
23 Oct 2025
ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning
Wenjie Zhu
Yabin Zhang
Jianfeng Dong
Wenjun Zeng
Lei Zhang
474
0
0
04 Sep 2025
Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection
Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection
Wenjie Zhu
Yabin Zhang
Xin Jin
Wenjun Zeng
Lei Zhang
346
2
0
26 Jul 2025
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
Reihaneh Zohrabi
Hosein Hasani
M. Baghshah
Anna Rohrbach
Marcus Rohrbach
M. Rohban
OODD
416
1
0
30 Jun 2025
Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors
Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors
Tejaswi Kasarla
Max van Spengler
Pascal Mettes
OODD
328
2
0
11 Jun 2025
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery
Alireza Fathalizadeh
Roozbeh Razavi-Far
CLL
268
0
0
11 Apr 2025
FARE: A Deep Learning-Based Framework for Radar-based Face Recognition and Out-of-distribution Detection
FARE: A Deep Learning-Based Framework for Radar-based Face Recognition and Out-of-distribution DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Sabri Mustafa Kahya
Boran Hamdi Sivrikaya
Muhammet Sami Yavuz
Eckehard Steinbach
CVBM
176
0
0
14 Jan 2025
Out-of-Distribution Detection with Prototypical Outlier Proxy
Out-of-Distribution Detection with Prototypical Outlier ProxyAAAI Conference on Artificial Intelligence (AAAI), 2024
Mingrong Gong
Chaoqi Chen
Qingqiang Sun
Yue Wang
Hui Huang
OODD
490
6
0
22 Dec 2024
Adaptive Hierarchical Graph Cut for Multi-granularity
  Out-of-distribution Detection
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
OODD
389
4
0
20 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 DataExpert systems with applications (ESWA), 2024
Xiang Fang
Arvind Easwaran
B. Genest
Ponnuthurai Nagaratnam Suganthan
559
40
0
09 Dec 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual
  Out-of-Distribution Detection
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024
Jiankang Chen
Tong Zhang
Wei-Shi Zheng
Ruixuan Wang
OODD
429
6
0
22 Nov 2024
Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection
Xingming Long
Jie M. Zhang
Shiguang Shan
Xilin Chen
OODD
360
0
0
18 Nov 2024
Image-based Outlier Synthesis With Training Data
Sudarshan Regmi
OODD
546
2
0
16 Nov 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action DetectionConference on Multimedia Information Processing and Retrieval (MIPR), 2024
Xiang Fang
Arvind Easwaran
B. Genest
450
9
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
485
3
0
09 Sep 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024
Suhee Yoon
Sanghyu Yoon
Ye Seul Sim
Sungik Choi
Kyungeun Lee
Hye-Seung Cho
Hankook Lee
Woohyung Lim
344
1
0
27 Aug 2024
FOOD: Facial Authentication and Out-of-Distribution Detection with
  Short-Range FMCW Radar
FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW RadarInternational Conference on Information Photonics (ICIP), 2024
Sabri Mustafa Kahya
Boran Hamdi Sivrikaya
Muhammet Sami Yavuz
Eckehard Steinbach
CVBM
221
3
0
06 Jun 2024
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
Zhi Zhou
Ming Yang
Jiang-Xin Shi
Lan-Zhe Guo
Yu-Feng Li
OODDVLM
253
12
0
01 Jun 2024
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
Yang Yang
Nan Jiang
Yi Tian Xu
De-Chuan Zhan
392
31
0
11 May 2024
Gradient-Regularized Out-of-Distribution Detection
Gradient-Regularized Out-of-Distribution Detection
Sina Sharifi
Taha Entesari
Bardia Safaei
Vishal M. Patel
Mahyar Fazlyab
OODD
359
13
0
18 Apr 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation
Unified Entropy Optimization for Open-Set Test-Time Adaptation
Zhengqing Gao
Xu-Yao Zhang
Cheng-Lin Liu
TTA
310
17
0
09 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A
  Survey
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey
Naveen Karunanayake
Ravin Gunawardena
Suranga Seneviratne
Sanjay Chawla
OOD
369
16
0
08 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
444
8
0
30 Mar 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real
  World
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Bani Mallick
UQCV
322
1
0
29 Mar 2024
Outlier detection by ensembling uncertainty with negative objectness
Outlier detection by ensembling uncertainty with negative objectness
Anja Delić
Matej Grcić
Sinisa Segvic
UQCV
459
31
0
23 Feb 2024
Multitask Active Learning for Graph Anomaly Detection
Multitask Active Learning for Graph Anomaly Detection
Wenjing Chang
Kay Liu
Kaize Ding
Philip S. Yu
Jianjun Yu
417
10
0
24 Jan 2024
NODI: Out-Of-Distribution Detection with Noise from Diffusion
NODI: Out-Of-Distribution Detection with Noise from Diffusion
Jingqiu Zhou
Aojun Zhou
Jiaming Song
DiffM
315
3
0
13 Jan 2024
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
Yujie Li
Xin Yang
Hao Wang
Xiangkun Wang
Tianrui Li
VLMCLL
210
25
0
22 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
475
8
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
259
3
0
23 Nov 2023
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
Taesik Gong
Yewon Kim
Taeckyung Lee
Sorn Chottananurak
Sung-Ju Lee
TTA
241
57
0
16 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
540
8
0
02 Oct 2023
Learning on Graphs with Out-of-Distribution Nodes
Learning on Graphs with Out-of-Distribution NodesKnowledge Discovery and Data Mining (KDD), 2022
Yunho Song
Xuetao Zhang
OODD
307
56
0
13 Aug 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution
  Detection and Generalization
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and GeneralizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wang Lu
Yongfeng Zhang
Xinwei Sun
Yiqiang Chen
Xiangyang Ji
Qiang Yang
Xingxu Xie
OODDAI4TS
377
34
0
04 Aug 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using
  FMCW Radar
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
534
10
0
24 Jul 2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label
  Non-conformity in Web Images Via a New Generalized KL Divergence
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL DivergenceInternational Journal of Computer Vision (IJCV), 2023
Xia Huang
Kai Fong Ernest Chong
302
5
0
19 Jul 2023
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples
  using Gradients and Invariance Transformations
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance TransformationsIEEE International Joint Conference on Neural Network (IJCNN), 2023
Julia Lust
Alexandru Paul Condurache
AAMLUQCV
254
1
0
05 Jul 2023
Beyond AUROC & co. for evaluating out-of-distribution detection
  performance
Beyond AUROC & co. for evaluating out-of-distribution detection performance
Galadrielle Humblot-Renaux
Sergio Escalera
T. Moeslund
OODD
270
9
0
26 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection
  Capability
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection CapabilityInternational Conference on Machine Learning (ICML), 2023
Jianing Zhu
Hengzhuang Li
Jiangchao Yao
Tongliang Liu
Jianliang Xu
Bo Han
OODD
240
20
0
06 Jun 2023
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt LearningNeural Information Processing Systems (NeurIPS), 2023
Atsuyuki Miyai
Qing Yu
Go Irie
Kiyoharu Aizawa
OODD
565
132
0
02 Jun 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent
  Out-of-Distribution Detection
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Fan Lu
Kai Zhu
Wei Zhai
Kecheng Zheng
Yang Cao
UQCV
388
27
0
18 Mar 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant
  Analysis
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant AnalysisIEEE International Conference on Computer Vision (ICCV), 2023
Yiye Chen
Yunzhi Lin
Ruinian Xu
Patricio A. Vela
OODD
335
13
0
14 Mar 2023
MCROOD: Multi-Class Radar Out-Of-Distribution Detection
MCROOD: Multi-Class Radar Out-Of-Distribution DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
170
13
0
10 Mar 2023
Improving GAN Training via Feature Space Shrinkage
Improving GAN Training via Feature Space Shrinkage
Haozhe Liu
Wentian Zhang
Bing Li
Haoqian Wu
Nanjun He
Yawen Huang
Yuexiang Li
Guohao Li
Yefeng Zheng
GAN
279
8
0
02 Mar 2023
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW
  Radar
Reconstruction-based Out-of-Distribution Detection for Short-Range FMCW RadarEuropean Signal Processing Conference (EUSIPCO), 2023
Sabri Mustafa Kahya
Muhammet Sami Yavuz
Eckehard Steinbach
OODD
449
8
0
27 Feb 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection
VRA: Variational Rectified Activation for Out-of-distribution DetectionNeural Information Processing Systems (NeurIPS), 2023
Ming Xu
Zheng Lian
B. Liu
Jianhua Tao
OODD
350
15
0
23 Feb 2023
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric
  Perspective
Unsupervised Evaluation of Out-of-distribution Detection: A Data-centric Perspective
Yuhang Zhang
Weihong Deng
Liang Zheng
OODD
293
4
0
16 Feb 2023
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set
  Recognition
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set RecognitionInternational Conference on Learning Representations (ICLR), 2023
Jun Cen
Di Luan
Shiwei Zhang
Yixuan Pei
Yingya Zhang
Deli Zhao
Shaojie Shen
Qifeng Chen
279
22
0
08 Feb 2023
123
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