Deep Nearest Neighbor Anomaly Detection

24 February 2020

Papers citing "Deep Nearest Neighbor Anomaly Detection"

34 / 84 papers shown

Title
Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data R. Schmier Ullrich Kothe C. Straehle 21 5 0 30 Aug 2022
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines Jo-Lan Kuan Jonas W. Mueller OODD 24 27 0 07 Jul 2022
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection Xincheng Yao Ruoqing Li Jing Zhang Jun Sun Chongyang Zhang 26 64 0 04 Jul 2022
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring Adam Goodge Bryan Hooi See Kiong Ng Wee Siong Ng 9 1 0 15 Jun 2022
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection Hossein Mirzaei Mohammadreza Salehi Sajjad Shahabi E. Gavves Cees G. M. Snoek Mohammad Sabokrou M. Rohban OOD 13 6 0 28 May 2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft UQCV 48 44 0 23 May 2022
Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection J. Zhang Di Wu Benoit Boulet AI4TS 24 8 0 19 May 2022
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection W. T. Lunardi Martin Andreoni Lopez J. Giacalone 24 22 0 03 May 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 19 490 0 13 Apr 2022
Georeferencing of Photovoltaic Modules from Aerial Infrared Videos using Structure-from-Motion Lukas Bommes C. Buerhop‐Lutz Tobias Pickel J. Hauch Christoph J. Brabec I. M. Peters 17 10 0 06 Apr 2022
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection Yufei Liang Jiangning Zhang Shiwei Zhao Ru-Chwen Wu Yong-Jin Liu Shuwen Pan 120 116 0 01 Mar 2022
Data refinement for fully unsupervised visual inspection using pre-trained networks Antoine Cordier Benjamin Missaoui Pierre Gutierrez 26 5 0 25 Feb 2022
ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables Hironori Murase Kenji Fukumizu 25 10 0 21 Feb 2022
Approaches Toward Physical and General Video Anomaly Detection Laura Kart Niv Cohen 37 0 0 14 Dec 2021
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks Adam Goodge Bryan Hooi See Kiong Ng Wee Siong Ng 14 104 0 10 Dec 2021
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 13 27 0 08 Dec 2021
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning Lukas Bommes M. Hoffmann C. Buerhop‐Lutz Tobias Pickel J. Hauch Christoph J. Brabec Andreas Maier I. M. Peters 18 31 0 06 Dec 2021
Constrained Adaptive Projection with Pretrained Features for Anomaly Detection Xingtai Gui Di Wu Yang Chang Shicai Fan 21 5 0 05 Dec 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 27 6 0 26 Nov 2021
SLA $^2$ P: Self-supervised Anomaly Detection with Adversarial Perturbation Yizhou Wang Can Qin Rongzhe Wei Yi Tian Xu Yue Bai Y. Fu AAML 28 5 0 25 Nov 2021
Improving Novelty Detection using the Reconstructions of Nearest Neighbours Michael Mesarcik E. Ranguelova A. Boonstra Rob van Nieuwpoort 27 5 0 11 Nov 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 27 62 0 09 Oct 2021
Enhancing Unsupervised Anomaly Detection with Score-Guided Network Zongyuan Huang Baohua Zhang Guoqiang Hu Longyuan Li Yanyan Xu Yaohui Jin 37 16 0 10 Sep 2021
Out-of-Distribution Detection Using Outlier Detection Methods Jan Diers Christian Pigorsch OODD 24 3 0 18 Aug 2021
Unsupervised Outlier Detection using Memory and Contrastive Learning Ning Huyan Dou Quan Xiangrong Zhang Xuefeng Liang Jocelyn Chanussot L. Jiao 32 22 0 27 Jul 2021
Anomaly Detection via Self-organizing Map Ning Li Kaitao Jiang Zhiheng Ma Xing Wei Xiaopeng Hong Yihong Gong 31 33 0 21 Jul 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 39 869 0 15 Jun 2021
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection Pierre Gutierrez Antoine Cordier Thais Caldeira Théophile Sautory 18 4 0 02 Jun 2021
CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis A. Nobari Muhammad Fathy Rashad Faez Ahmed GAN AI4CE 27 48 0 10 Mar 2021
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 34 812 0 17 Nov 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 28 4 0 05 Oct 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 20 780 0 24 Sep 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 27 236 0 28 May 2020
Sub-Image Anomaly Detection with Deep Pyramid Correspondences Niv Cohen Yedid Hoshen 22 469 0 05 May 2020