Deep Anomaly Detection Using Geometric Transformations

28 May 2018

Papers citing "Deep Anomaly Detection Using Geometric Transformations"

50 / 92 papers shown

Title
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection Yun Peng Xiao Lin Nachuan Ma Jiayuan Du Chuangwei Liu Chengju Liu Qi Chen 44 3 0 17 Feb 2025
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges Aitor Sánchez-Ferrera Borja Calvo Jose A. Lozano AI4TS 37 0 0 28 Jan 2025
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Qisen Cheng Shuhui Qu Janghwan Lee 51 4 0 17 Jan 2025
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features Luc P.J. Strater Mohammadreza Salehi E. Gavves Cees G. M. Snoek Yuki M. Asano 41 7 0 17 Jul 2024
Improved AutoEncoder with LSTM module and KL divergence Wei Huang Bingyang Zhang Kaituo Zhang Hua Gao Rongchun Wan 23 1 0 30 Apr 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection Jingyi Liao Xun Xu Manh Cuong Nguyen A. Goodge Chuan-Sheng Foo 39 9 0 29 Feb 2024
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 32 3 0 25 Dec 2023
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 29 0 0 24 Nov 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 24 12 0 09 Oct 2023
Understanding the limitations of self-supervised learning for tabular anomaly detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin SSL 29 0 0 15 Sep 2023
Local and Global Information in Obstacle Detection on Railway Tracks Matthias Brucker Andrei Cramariuc Cornelius von Einem Roland Siegwart Cesar Cadena 22 8 0 28 Jul 2023
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection Jaemin Yoo Lingxiao Zhao L. Akoglu 30 4 0 21 Jun 2023
Imbalanced Aircraft Data Anomaly Detection Hao Yang Junyuan Gao Yuan. Yuan Xuelong Li AI4TS 19 4 0 17 May 2023
AGAD: Adversarial Generative Anomaly Detection Jian Shi Ni Zhang 21 0 0 09 Apr 2023
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization WenPing Jin Fei-Yu Guo Li Zhu ViT MedIm 34 1 0 30 Mar 2023
Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection Chaewon Park Minhyeok Lee Suhwan Cho Donghyeon Kim Sangyoun Lee 19 4 0 20 Feb 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 38 13 0 15 Feb 2023
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection Menglong Chen Xingtai Gui Shicai Fan OODD 13 1 0 06 Feb 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 26 1 0 11 Jan 2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj AI4CE 26 7 0 03 Jan 2023
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch Jinsung Yoon Kihyuk Sohn Chun-Liang Li Sercan Ö. Arik Tomas Pfister 29 7 0 30 Nov 2022
Vanishing Component Analysis with Contrastive Normalization R. Masuya Yuichi Ike Hiroshi Kera 19 0 0 27 Oct 2022
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection Tongkun Liu Bing Li Zhu Zhao Xiaoyu Du Bin Jiang Leqi Geng 28 35 0 26 Oct 2022
Reconstructed Student-Teacher and Discriminative Networks for Anomaly Detection Shinji Yamada Satoshi Kamiya Kazuhiro Hotta 26 29 0 14 Oct 2022
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection Peng-Fei Xing Yanpeng Sun Zechao Li 27 12 0 26 Sep 2022
Anomaly Detection in Aerial Videos with Transformers P. Jin Lichao Mou Guisong Xia Xiao Xiang Zhu ViT AI4TS 27 22 0 25 Sep 2022
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods Matthew Baugh Jeremy Tan Athanasios Vlontzos Johanna P. Müller Bernhard Kainz OOD 18 2 0 02 Sep 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection Hongzuo Xu Yijie Wang Songlei Jian Qing Liao Yongjun Wang Guansong Pang AI4TS 21 40 0 25 Jul 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation Yifan Wang Lin Zhang Ran Song Hongliang Li Lin Ma Wei Emma Zhang 24 6 0 19 Jul 2022
Registration based Few-Shot Anomaly Detection Chaoqin Huang Haoyan Guan Aofan Jiang Ya-Qin Zhang Michael W. Spratling Yanfeng Wang 27 142 0 15 Jul 2022
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems D'Jeff K. Nkashama Ariana Soltani Jean-Charles Verdier Marc Frappier Pierre-Marting Tardif F. Kabanza OOD AAML 21 5 0 25 Jun 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf Alexander Meinke Maximilian Augustin Matthias Hein OODD 15 25 0 20 Jun 2022
Which models are innately best at uncertainty estimation? Ido Galil Mohammed Dabbah Ran El-Yaniv UQCV 34 5 0 05 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 17 0 0 01 Jun 2022
Raising the Bar in Graph-level Anomaly Detection Chen Qiu Marius Kloft Stephan Mandt Maja R. Rudolph 32 61 0 27 May 2022
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization Chaoqin Huang Qinwei Xu Yanfeng Wang Yu Wang Ya-Qin Zhang 37 66 0 13 May 2022
Unsupervised Word Segmentation using K Nearest Neighbors T. Fuchs Yedid Hoshen Joseph Keshet SSL 22 6 0 27 Apr 2022
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection Muhao Xu Xueying Zhou Xizhan Gao Wei-Xiong He Sijie Niu 21 7 0 23 Apr 2022
Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection Bingqing Chen Luca Bondi Samarjit Das 62 7 0 05 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 18 112 0 28 Mar 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 40 3 0 19 Mar 2022
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains Lei Fan Yiwen Ding Dongdong Fan Donglin Di M. Pagnucco Yang Song AI4TS 29 19 0 10 Mar 2022
Self-Supervised and Interpretable Anomaly Detection using Network Transformers Daniel L. Marino Chathurika S. Wickramasinghe C. Rieger Milos Manic 29 8 0 25 Feb 2022
Time Series Anomaly Detection by Cumulative Radon Features Yedid Hoshen AI4TS 11 2 0 08 Feb 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 117 448 0 26 Jan 2022
Keeping Deep Lithography Simulators Updated: Global-Local Shape-Based Novelty Detection and Active Learning Hao-Chiang Shao Hsing-Lei Ping Kuo-shiuan Chen Weng-Tai Su Chia-Wen Lin Shao-Yun Fang Pin-Yian Tsai Yan-Hsiu Liu 30 7 0 24 Jan 2022
Turath-150K: Image Database of Arab Heritage Dani Kiyasseh Rasheed el-Bouri 19 0 0 01 Jan 2022
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 27 6 0 26 Nov 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 29 19 0 24 Nov 2021
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification Long Gao Chang Liu Dooman Arefan A. Panigrahy M. Zuley Shandong Wu VLM 23 2 0 20 Nov 2021