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Anomaly Detection via Multi-Scale Contrasted Memory

16 November 2022

Papers citing "Anomaly Detection via Multi-Scale Contrasted Memory"

48 / 48 papers shown

Title
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need Jingyao Li Pengguang Chen Shaozuo Yu Zexin He Shu Liu Jiaya Jia OODD 58 45 0 06 Feb 2023
Learning Second Order Local Anomaly for General Face Forgery Detection Jianwei Fei Yunshu Dai Peipeng Yu Tianrun Shen Zhihua Xia Jian Weng CVBM 205 55 0 30 Sep 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 181 479 0 26 Jan 2022
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 43 29 0 08 Dec 2021
Novelty Detection via Contrastive Learning with Negative Data Augmentation Chengwei Chen Yuan Xie Shaohui Lin Ruizhi Qiao Jingren Zhou Xin Tan Yi Zhang Lizhuang Ma SSL 69 13 0 18 Jun 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 88 919 0 15 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows Nishant Kumar Pia Hanfeld Michael Hecht Michael Bussmann Stefan Gumhold Nico Hoffmann OODD OOD TPM 59 4 0 10 Jun 2021
Mean-Shifted Contrastive Loss for Anomaly Detection Tal Reiss Yedid Hoshen 77 118 0 07 Jun 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 47 18 0 19 May 2021
Masked Contrastive Learning for Anomaly Detection Hyunsoo Cho Jinseok Seol Sang-goo Lee SSL 42 41 0 18 May 2021
Mean Shift for Self-Supervised Learning Soroush Abbasi Koohpayegani Ajinkya Tejankar Hamed Pirsiavash SSL 56 93 0 15 May 2021
When Does Contrastive Visual Representation Learning Work? Elijah Cole Xuan S. Yang Kimberly Wilber Oisin Mac Aodha Serge Belongie SSL 71 125 0 12 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 235 467 0 29 Apr 2021
Fine-grained Anomaly Detection via Multi-task Self-Supervision Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 87 6 0 20 Apr 2021
An Efficient Approach for Anomaly Detection in Traffic Videos Keval Doshi Yasin Yılmaz 58 14 0 20 Apr 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister SSL UQCV 90 781 0 08 Apr 2021
Elsa: Energy-based learning for semi-supervised anomaly detection Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 52 12 0 29 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 103 343 0 22 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 344 2,362 0 04 Mar 2021
Multiresolution Knowledge Distillation for Anomaly Detection Mohammadreza Salehi Niousha Sadjadi Soroosh Baselizadeh M. Rohban Hamid R. Rabiee 129 442 0 22 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,067 0 20 Nov 2020
Learning and Evaluating Representations for Deep One-class Classification Kihyuk Sohn Chun-Liang Li Jinsung Yoon Minho Jin Tomas Pfister SSL 131 201 0 04 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 69 252 0 12 Oct 2020
Hopfield Networks is All You Need Hubert Ramsauer Bernhard Schafl Johannes Lehner Philipp Seidl Michael Widrich ... David P. Kreil Michael K Kopp Günter Klambauer Johannes Brandstetter Sepp Hochreiter 114 436 0 16 Jul 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 85 602 0 16 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 153 385 0 29 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 249 4,097 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 374 6,833 0 13 Jun 2020
Classification-Based Anomaly Detection for General Data Liron Bergman Yedid Hoshen 52 351 0 05 May 2020
Learning Memory-guided Normality for Anomaly Detection Hyunjong Park Jongyoun Noh Bumsub Ham 56 641 0 30 Mar 2020
Deep Nearest Neighbor Anomaly Detection Liron Bergman Niv Cohen Yedid Hoshen UQCV 82 160 0 24 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,859 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 207 12,121 0 13 Nov 2019
Deep Variational Semi-Supervised Novelty Detection Tal Daniel Thanard Kurutach Aviv Tamar DRL UQCV 67 21 0 12 Nov 2019
Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network Anjith George Z. Mostaani David Geissenbuhler Olegs Nikisins André Anjos S´ebastien Marcel CVBM AAML 97 215 0 19 Sep 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Dan Hendrycks Mantas Mazeika Saurav Kadavath Basel Alomair OOD SSL 56 948 0 28 Jun 2019
Likelihood Ratios for Out-of-Distribution Detection Jie Jessie Ren Peter J. Liu Emily Fertig Jasper Snoek Ryan Poplin M. DePristo Joshua V. Dillon Balaji Lakshminarayanan OODD 200 726 0 07 Jun 2019
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 58 547 0 06 Jun 2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection Dong Gong Lingqiao Liu Vuong Le Budhaditya Saha M. Mansour Svetha Venkatesh Anton Van Den Hengel UQCV 49 1,269 0 04 Apr 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 118 526 0 20 Mar 2019
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 78 1,396 0 17 May 2018
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 108 2,231 0 17 Mar 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 341 8,169 0 13 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 102 2,343 0 10 Jun 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,590 0 01 Sep 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 88 2,742 0 20 Jun 2014
Toward Supervised Anomaly Detection Nico Görnitz Marius Kloft Konrad Rieck Ulf Brefeld AAML 70 387 0 23 Jan 2014