Deep Anomaly Detection Using Geometric Transformations

28 May 2018

Papers citing "Deep Anomaly Detection Using Geometric Transformations"

50 / 122 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 46 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 46 0 0 28 Jan 2025
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Qisen Cheng Shuhui Qu Janghwan Lee 66 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
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning Chaoqin Huang Haoyan Guan Aofan Jiang Yanfeng Wang Michael W. Spratling Xinchao Wang Ya Zhang 59 0 0 13 Jun 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 42 10 0 29 Feb 2024
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 34 3 0 25 Dec 2023
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 35 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 29 12 0 09 Oct 2023
Improving Vision Anomaly Detection with the Guidance of Language Modality Dong Chen Kaihang Pan Guoming Wang Yueting Zhuang Siliang Tang 28 3 0 04 Oct 2023
Understanding the limitations of self-supervised learning for tabular anomaly detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin SSL 32 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 Leman 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 40 1 0 30 Mar 2023
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection Jian Shi Pengyi Zhang Ni Zhang Hakim Ghazzai Y. Massoud MedIm 43 6 0 28 Feb 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
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks Louis Bethune Paul Novello Thibaut Boissin Guillaume Coiffier M. Serrurier Quentin Vincenot Andres Troya-Galvis 34 8 0 26 Jan 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 28 1 0 11 Jan 2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj AI4CE 29 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 32 7 0 30 Nov 2022
Vanishing Component Analysis with Contrastive Normalization R. Masuya Yuichi Ike Hiroshi Kera 27 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
Anomaly Detection Requires Better Representations Tal Reiss Niv Cohen Eliahu Horwitz Ron Abutbul Yedid Hoshen OOD AI4TS SSL 46 21 0 19 Oct 2022
Reconstructed Student-Teacher and Discriminative Networks for Anomaly Detection Shinji Yamada Satoshi Kamiya Kazuhiro Hotta 31 29 0 14 Oct 2022
Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes Yifang Sun Wei Wang OODD 29 5 0 13 Oct 2022
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection Peng-Fei Xing Yanpeng Sun Zechao Li 30 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
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning Yaohua Guo Lijuan Song Zirui Ma 29 0 0 15 Sep 2022
ADTR: Anomaly Detection Transformer with Feature Reconstruction Zhiyuan You Kai Yang Wenhan Luo Lei Cui Yu Zheng Xinyi Le ViT 39 42 0 05 Sep 2022
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods Matthew Baugh Jeremy Tan Athanasios Vlontzos Johanna P. Müller Bernhard Kainz OOD 24 2 0 02 Sep 2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection Silvio Galesso M. A. Bravo Mehdi Naouar Thomas Brox 21 4 0 30 Aug 2022
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation Jiamin Liang Yuhao Huang Haoming Li Shuangchi He Xindi Hu Zejian Chen Isabel Kaltenborn Dong Ni OOD 31 42 0 05 Aug 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection Hongzuo Xu Yijie Wang Songlei Jian Qing Liao Yongjun Wang Guansong Pang AI4TS 23 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 Zhang Michael W. Spratling Yanfeng Wang 35 142 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 29 5 0 25 Jun 2022
Self-Supervised Training with Autoencoders for Visual Anomaly Detection Alexander Bauer Shinichi Nakajima Klaus-Robert Müller 26 9 0 23 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 21 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 28 0 0 01 Jun 2022
Raising the Bar in Graph-level Anomaly Detection Chen Qiu Marius Kloft Stephan Mandt Maja R. Rudolph 32 62 0 27 May 2022
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization Chaoqin Huang Qinwei Xu Yanfeng Wang Yu Wang Ya Zhang 39 66 0 13 May 2022
Unsupervised Word Segmentation using K Nearest Neighbors T. Fuchs Yedid Hoshen Joseph Keshet SSL 27 6 0 27 Apr 2022
OCFormer: One-Class Transformer Network for Image Classification Prerana Mukherjee C. Roy Swalpa Kumar Roy ViT 22 1 0 25 Apr 2022
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection Muhao Xu Xueying Zhou Xizhan Gao Wei-Xiong He Sijie Niu 29 7 0 23 Apr 2022