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Self-Supervised Training with Autoencoders for Visual Anomaly Detection

23 June 2022

Papers citing "Self-Supervised Training with Autoencoders for Visual Anomaly Detection"

50 / 59 papers shown

Title
SoftPatch: Unsupervised Anomaly Detection with Noisy Data Xi Jiang Ying Chen Qiang Nie Yang Liu Jianlin Liu Jinbao Wang WU Kai Chengjie Wang Feng Zheng 174 65 0 21 Mar 2024
Active anomaly detection based on deep one-class classification Minkyung Kim Junsik Kim Jongmin Yu Jun Kyun Choi 86 15 0 18 Sep 2023
MSFlow: Multi-Scale Flow-based Framework for Unsupervised Anomaly Detection Yixuan Zhou Xing Xu Jingkuan Song Fumin Shen Hengtao Shen AI4CE 100 21 0 29 Aug 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 125 258 0 27 Mar 2023
PNI : Industrial Anomaly Detection using Position and Neighborhood Information Jaehyeok Bae Jaehyeon Lee Seyun Kim 66 62 0 22 Nov 2022
FAPM: Fast Adaptive Patch Memory for Real-time Industrial Anomaly Detection Donghyeon Kim Chaewon Park Suhwan Cho Sangyoun Lee 73 35 0 14 Nov 2022
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection Yeongmin Kim Huiwon Jang Dongkeon Lee Ho-Jin Choi 68 9 0 26 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 109 39 0 26 Oct 2022
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection Marco Rudolph Tom Wehrbein Bodo Rosenhahn Bastian Wandt 104 138 0 14 Oct 2022
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation Yang Zou Jongheon Jeong Latha Pemula Dongqing Zhang Onkar Dabeer 98 310 0 28 Jul 2022
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization Sungwook Lee Seunghyun Lee B. Song 108 196 0 09 Jun 2022
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization Chaoqin Huang Qinwei Xu Yanfeng Wang Yu Wang Ya Zhang 85 69 0 13 May 2022
MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities Minghui Yang Peng Wu Jing Liu Hui Feng 103 166 0 02 May 2022
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder Yunseung Lee Pilsung Kang ViT 81 76 0 21 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 190 480 0 26 Jan 2022
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows Jiawei Yu1 Ye Zheng Xiang Wang Wei Li Yushuang Wu Rui Zhao Liwei Wu 77 312 0 15 Nov 2021
PEDENet: Image Anomaly Localization via Patch Embedding and Density Estimation Kaitai Zhang Bin Wang C.-C. Jay Kuo 42 21 0 29 Oct 2021
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization Ye Zheng Xiang Wang Rui Deng Tianpeng Bao Rui Zhao Liwei Wu OOD 77 63 0 09 Oct 2021
AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning J. Song Kyeongbo Kong Ye In Park Seonggyun Kim Suk-Ju Kang 68 47 0 07 Oct 2021
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 188 139 0 30 Sep 2021
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection Vitjan Zavrtanik Matej Kristan D. Skočaj 84 621 0 17 Aug 2021
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows Denis A. Gudovskiy Shun Ishizaka Kazuki Kozuka 115 406 0 27 Jul 2021
Anomaly Detection via Self-organizing Map Ning Li Kaitao Jiang Zhiheng Ma Xing Wei Xiaopeng Hong Yihong Gong 64 34 0 21 Jul 2021
Detecting Outliers with Poisson Image Interpolation Jeremy Tan Benjamin Hou Thomas Day J. Simpson Daniel Rueckert Bernhard Kainz MedIm 43 51 0 06 Jul 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 88 922 0 15 Jun 2021
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 183 168 0 28 Apr 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister SSL UQCV 95 784 0 08 Apr 2021
Multiresolution Knowledge Distillation for Anomaly Detection Mohammadreza Salehi Niousha Sadjadi Soroosh Baselizadeh M. Rohban Hamid R. Rabiee 132 443 0 22 Nov 2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 83 848 0 17 Nov 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 135 805 0 24 Sep 2020
Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise Anne-Sophie Collin Christophe De Vleeschouwer 79 87 0 29 Aug 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 85 604 0 16 Jul 2020
Explainable Deep One-Class Classification Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Marius Kloft Klaus-Robert Muller 69 199 0 03 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 168 385 0 29 Jun 2020
Sub-Image Anomaly Detection with Deep Pyramid Correspondences Niv Cohen Yedid Hoshen 94 478 0 05 May 2020
Iterative energy-based projection on a normal data manifold for anomaly localization David Dehaene Oriel Frigo Sébastien Combrexelle P. Eline 53 145 0 10 Feb 2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification Penny Chong Lukas Ruff Marius Kloft Alexander Binder 107 35 0 24 Jan 2020
Towards Visually Explaining Variational Autoencoders Wenqian Liu Runze Li Meng Zheng Srikrishna Karanam Ziyan Wu B. Bhanu Richard J. Radke Mario Sznaier 137 219 0 18 Nov 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 87 666 0 06 Nov 2019
Unsupervised Anomaly Localization using Variational Auto-Encoders David Zimmerer Fabian Isensee Jens Petersen Simon A. A. Kohl Klaus Maier-Hein DRL 68 135 0 04 Jul 2019
From Clustering to Cluster Explanations via Neural Networks Jacob R. Kauffmann Malte Esders Lukas Ruff G. Montavon Wojciech Samek K. Müller 68 72 0 18 Jun 2019
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks René Schuster Oliver Wasenmüller C. Unger D. Stricker MDE 81 50 0 05 Apr 2019
Anomaly Detection using Deep Learning based Image Completion Matthias Haselmann D. Gruber Paul Tabatabai UQCV 47 106 0 16 Nov 2018
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders Paul Bergmann Sindy Löwe Michael Fauser David Sattlegger C. Steger 93 669 0 05 Jul 2018
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 122 435 0 04 Jul 2018
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders Xiaoran Chen E. Konukoglu MedIm 64 266 0 13 Jun 2018
Free-Form Image Inpainting with Gated Convolution Jiahui Yu Zhe Lin Jimei Yang Xiaohui Shen Xin Lu Thomas Huang DRL 71 1,720 0 10 Jun 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 99 607 0 28 May 2018
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models Jacob R. Kauffmann K. Müller G. Montavon DRL 69 96 0 16 May 2018
Image Inpainting for Irregular Holes Using Partial Convolutions Guilin Liu F. Reda Kevin J. Shih Ting-Chun Wang Andrew Tao Bryan Catanzaro 220 1,934 0 20 Apr 2018