Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

31 May 2021

Papers citing "Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation"

20 / 20 papers shown

Title
Mixed supervision for surface-defect detection: from weakly to fully supervised learning Jakob Bozic Domen Tabernik D. Skočaj 54 253 0 13 Apr 2021
One-Class Classification: A Survey Pramuditha Perera Poojan Oza Vishal M. Patel 89 113 0 08 Jan 2021
Multiresolution Knowledge Distillation for Anomaly Detection Mohammadreza Salehi Niousha Sadjadi Soroosh Baselizadeh M. Rohban Hamid R. Rabiee 129 442 0 22 Nov 2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 79 843 0 17 Nov 2020
Explainable Deep One-Class Classification Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Marius Kloft Klaus-Robert Muller 57 199 0 03 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 153 385 0 29 Jun 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 131 240 0 28 May 2020
Sub-Image Anomaly Detection with Deep Pyramid Correspondences Niv Cohen Yedid Hoshen 81 476 0 05 May 2020
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 81 665 0 06 Nov 2019
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection Domen Tabernik Samo Sela J. Skvarc D. Skočaj 49 695 0 20 Mar 2019
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders Paul Bergmann Sindy Löwe Michael Fauser David Sattlegger C. Steger 67 668 0 05 Jul 2018
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 113 435 0 04 Jul 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline Wen Liu Weixin Luo Dongze Lian Shenghua Gao 3DH 173 1,078 0 28 Dec 2017
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning José Lezama Qiang Qiu Pablo Musé Guillermo Sapiro 67 78 0 05 Dec 2017
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
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings K. Choromanski Mark Rowland Adrian Weller 84 85 0 02 Mar 2017
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 266 14,018 0 19 Nov 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,723 0 09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014