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Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly
  Types
v1v2 (latest)

Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
21 December 2021
Kihyuk Sohn
Chang Jo Kim
Chun-Liang Li
Chen-Yu Lee
Tomas Pfister
ArXiv (abs)PDFHTML

Papers citing "Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types"

14 / 14 papers shown
Title
ProtoAnomalyNCD: Prototype Learning for Multi-class Novel Anomaly Discovery in Industrial Scenarios
ProtoAnomalyNCD: Prototype Learning for Multi-class Novel Anomaly Discovery in Industrial Scenarios
Botong Zhao
Qijun Shi
Shujing Lyu
Yue Lu
117
0
0
17 Nov 2025
Example-Based Feature Painting on Textures
Example-Based Feature Painting on Textures
Andrei-Timotei Ardelean
Tim Weyrich
DiffM
160
0
0
03 Nov 2025
Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data
Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data
Ferdinand Rewicki
Joachim Denzler
Julia Niebling
101
0
0
13 Jan 2025
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial ScenariosComputer Vision and Pattern Recognition (CVPR), 2024
Ziming Huang
Xurui Li
Haotian Liu
Feng Xue
Yuzhe Wang
Yu Zhou
282
5
0
18 Oct 2024
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of
  Anomalous Behavior in Bio-regenerative Life Support System Telemetry
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry
Ferdinand Rewicki
J. Gawlikowski
Julia Niebling
Joachim Denzler
71
2
0
14 Jun 2024
Anomaly Multi-classification in Industrial Scenarios: Transferring
  Few-shot Learning to a New Task
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task
Jie Liu
Yao Wu
Xiaotong Luo
Zongze Wu
203
1
0
09 Jun 2024
Advancing Anomaly Detection in Computational Workflows with Active
  Learning
Advancing Anomaly Detection in Computational Workflows with Active LearningFuture generations computer systems (FGCS), 2024
Krishnan Raghavan
George Papadimitriou
Hongwei Jin
A. Mandal
Mariam Kiran
Dali Wang
Ewa Deelman
AI4CE
129
4
0
09 May 2024
Blind Localization and Clustering of Anomalies in Textures
Blind Localization and Clustering of Anomalies in Textures
Andrei-Timotei Ardelean
Tim Weyrich
214
8
0
18 Apr 2024
Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly
  Detection
Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly DetectionSignal, Image and Video Processing (SIVP), 2023
Jianjian Qin
Chunzhi Gu
Junzhou Yu
Chao Zhang
137
5
0
30 Nov 2023
Self-supervised Learning for Anomaly Detection in Computational
  Workflows
Self-supervised Learning for Anomaly Detection in Computational Workflows
Hongwei Jin
Krishnan Raghavan
George Papadimitriou
Cong Wang
A. Mandal
Ewa Deelman
Dali Wang
131
1
0
02 Oct 2023
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly
  Detection
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly DetectionPattern Recognition (Pattern Recogn.), 2023
Yujin Lee
Harin Lim
Seoyoon Jang
H. Yoon
191
10
0
24 Jul 2023
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection
George Papadimitriou
Hongwei Jin
Cong Wang
Rajiv Mayani
Krishnan Raghavan
A. Mandal
Dali Wang
Ewa Deelman
168
3
0
16 Jun 2023
Component-aware anomaly detection framework for adjustable and logical
  industrial visual inspection
Component-aware anomaly detection framework for adjustable and logical industrial visual inspectionAdvanced Engineering Informatics (Adv. Eng. Inform.), 2023
Tongkun Liu
Bing Li
Xiao Du
Bingke Jiang
Xiao Jin
Liuyi Jin
Zhu Zhao
179
46
0
15 May 2023
Deep Learning for Unsupervised Anomaly Localization in Industrial
  Images: A Survey
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A SurveyIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2022
Xian Tao
Xinyi Gong
X. Zhang
Shaohua Yan
Chandranath Adak
UQCV
203
194
0
21 Jul 2022
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