Deep Semi-Supervised Anomaly Detection

6 June 2019

Lukas Ruff

Robert A. Vandermeulen

Papers citing "Deep Semi-Supervised Anomaly Detection"

50 / 96 papers shown

Title
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains Vincent Jacob Y. Diao AI4TS 46 0 0 29 Mar 2025
DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection Jaewoo Song Daemin Park Kanghyun Baek Sangyub Lee Jooyoung Choi Eunji Kim Sungroh Yoon 59 0 0 18 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 56 0 0 09 Mar 2025
KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models Dong Chen Zhengqing Hu Peiguang Fan Yueting Zhuang Yafei Li Qidong Liu Xiaoheng Jiang Mingliang Xu VLM 55 0 0 14 Feb 2025
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection Yunkang Cao Jiangning Zhang Luca Frittoli Yuqi Cheng Weiming Shen Giacomo Boracchi VLM 58 29 0 22 Jul 2024
Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 38 0 0 04 Jun 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 52 1 0 29 May 2024
ReMoDetect: Reward Models Recognize Aligned LLM's Generations Hyunseok Lee Jihoon Tack Jinwoo Shin DeLMO 40 0 0 27 May 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 59 4 0 23 May 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images Chaoqin Huang Aofan Jiang Jinghao Feng Ya Zhang Xinchao Wang Yanfeng Wang MedIm 45 25 0 19 Mar 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection Jingyi Liao Xun Xu Manh Cuong Nguyen A. Goodge Chuan-Sheng Foo 42 10 0 29 Feb 2024
Separating common from salient patterns with Contrastive Representation Learning Robin Louiset Edouard Duchesnay Antoine Grigis Pietro Gori SSL DRL 48 1 0 19 Feb 2024
Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification Joohyung Lee Heejeong Nam Kwanhyung Lee Sangchul Hahn 30 2 0 16 Feb 2024
Label-Free Multivariate Time Series Anomaly Detection Qihang Zhou Shibo He Haoyu Liu Jiming Chen Wenchao Meng AI4TS 32 10 0 17 Dec 2023
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 37 0 0 24 Nov 2023
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation Hao Dong Gaëtan Frusque Yue Zhao Eleni Chatzi Olga Fink AAML 41 5 0 20 Nov 2023
Active anomaly detection based on deep one-class classification Minkyung Kim Junsik Kim Jongmin Yu Jun Kyun Choi 42 14 0 18 Sep 2023
Understanding the limitations of self-supervised learning for tabular anomaly detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin SSL 37 0 0 15 Sep 2023
Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection Yasir Ali Farrukh S. Wali Irfan Khan Nathaniel D. Bastian 35 6 0 14 Sep 2023
Detecting the Anomalies in LiDAR Pointcloud Chiyu Zhang J. Han Yao Zou Kexin Dong Yujia Li Junchun Ding Xiaoling Han 3DPC 14 2 0 31 Jul 2023
Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations Assef Ghamisi Todd Charter Li Ji M. Rivard G. Lund Homayoun Najjaran 42 7 0 15 Jul 2023
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach Gaëtan Frusque D. Mitchell J. Blanche David Flynn Olga Fink 31 8 0 19 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 52 23 0 18 Jun 2023
Energy-based Detection of Adverse Weather Effects in LiDAR Data Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 30 17 0 25 May 2023
Interactive System-wise Anomaly Detection Guanchu Wang Ninghao Liu Daochen Zha Xia Hu AAML 22 1 0 21 Apr 2023
AGAD: Adversarial Generative Anomaly Detection Jian Shi Ni Zhang 21 0 0 09 Apr 2023
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection Tomoya Nishida Takashi Endo Y. Kawaguchi 23 1 0 05 Apr 2023
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction Xu Tan Jiawei Yang Junqi Chen S. Rahardja S. Rahardja UQCV 27 1 0 03 Apr 2023
Learning Representation for Anomaly Detection of Vehicle Trajectories Ruochen Jiao Juyang Bai Xiangguo Liu Takami Sato Xiao-Fang Yuan Qi Alfred Chen Qiuhan Zhu AI4TS AAML 42 14 0 09 Mar 2023
Set Features for Fine-grained Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen AI4TS 28 15 0 23 Feb 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 43 13 0 15 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang Yan Sun Jinyu Cai Jicong Fan 43 10 0 13 Feb 2023
Weakly Supervised Anomaly Detection: A Survey Minqi Jiang Chaochuan Hou Ao Zheng Xiyang Hu Songqiao Han Hailiang Huang Xiangnan He Philip S. Yu Yue Zhao 35 30 0 09 Feb 2023
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks Bowen Tian Qinliang Su Jianxing Yu 25 2 0 03 Feb 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 30 1 0 11 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization H. Zhang Zuxuan Wu Ziwen Wang Zhineng Chen Yuwei Jiang UQCV AI4TS 40 62 0 05 Dec 2022
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch Jinsung Yoon Kihyuk Sohn Chun-Liang Li Sercan Ö. Arik Tomas Pfister 32 7 0 30 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 32 0 0 16 Nov 2022
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations He Cheng Depeng Xu Shuhan Yuan Xintao Wu AI4TS 40 3 0 09 Oct 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label Qihang Zhou Jiming Chen Haoyu Liu Shibo He Wenchao Meng AI4TS 32 22 0 03 Aug 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song Klara Nahrstedt 27 11 0 24 Jul 2022
Multivariate Time Series Anomaly Detection with Few Positive Samples Feng Xue Weizhong Yan AI4TS 24 3 0 02 Jul 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 46 296 0 19 Jun 2022
Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure Ibuki Kuroyanagi Tomoki Hayashi K. Takeda T. Toda 30 12 0 13 Jun 2022
Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream Susik Yoon Youngjun Lee Jae-Gil Lee Byung Suk Lee 27 23 0 09 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 27 12 0 09 Jun 2022
PAC-Wrap: Semi-Supervised PAC Anomaly Detection Shuo Li Xiayan Ji Yan Sun O. Sokolsky Insup Lee 27 14 0 22 May 2022
TracInAD: Measuring Influence for Anomaly Detection Hugo Thimonier Fabrice Popineau Arpad Rimmel Bich-Liên Doan Fabrice Daniel TDI 21 6 0 03 May 2022
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs Bowen Tian Qinliang Su Jian Yin 36 18 0 28 Apr 2022
Semi-supervised anomaly detection algorithm based on KL divergence (SAD-KL) C. Lee Kibae Lee 44 4 0 28 Mar 2022