Manifolds for Unsupervised Visual Anomaly Detection

19 June 2020

Papers citing "Manifolds for Unsupervised Visual Anomaly Detection"

30 / 30 papers shown

Title
Fine-Grain Few-Shot Vision via Domain Knowledge as Hyperspherical Priors B. Haney Alexander Lavin 47 4 0 23 May 2020
Geoopt: Riemannian Optimization in PyTorch Max Kochurov R. Karimov Sergei Kozlukov 84 124 0 06 May 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 416 10,591 0 17 Feb 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 120 49 0 12 Feb 2020
Mixed-curvature Variational Autoencoders Ondrej Skopek O. Ganea Gary Bécigneul CML DRL BDL 62 102 0 19 Nov 2019
A Survey on GANs for Anomaly Detection Federico Di Mattia P. Galeone M. D. Simoni Emanuele Ghelfi 91 128 0 27 Jun 2019
Learning Hierarchical Priors in VAEs Alexej Klushyn Nutan Chen Richard Kurle Botond Cseke Patrick van der Smagt BDL CML DRL 42 100 0 13 May 2019
Hyperspherical Prototype Networks Pascal Mettes Elise van der Pol Cees G. M. Snoek 80 125 0 29 Jan 2019
A PCB Dataset for Defects Detection and Classification Weibo Huang Peng Wei 43 89 0 24 Jan 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 76 178 0 17 Jan 2019
Adversarial Autoencoders with Constant-Curvature Latent Manifolds Daniele Grattarola L. Livi Cesare Alippi BDL 48 28 0 11 Dec 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 107 111 0 26 Oct 2018
Poincaré GloVe: Hyperbolic Word Embeddings A. Tifrea Gary Bécigneul O. Ganea 63 288 0 15 Oct 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 96 116 0 12 Jul 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders Stanislav Pidhorskyi Ranya Almohsen Donald Adjeroh Gianfranco Doretto UQCV 45 322 0 06 Jul 2018
Only Bayes should learn a manifold (on the estimation of differential geometric structure from data) Søren Hauberg 55 33 0 13 Jun 2018
Hyperbolic Neural Networks O. Ganea Gary Bécigneul Thomas Hofmann 56 603 0 23 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 78 1,393 0 17 May 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 106 384 0 03 Apr 2018
Efficient GAN-Based Anomaly Detection Houssam Zenati Chuan-Sheng Foo Bruno Lecouat Gaurav Manek V. Chandrasekhar 45 563 0 17 Feb 2018
The Riemannian Geometry of Deep Generative Models Hang Shao Abhishek Kumar P. T. Fletcher DRL 61 183 0 21 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 226 5,019 0 02 Nov 2017
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 93 1,308 0 22 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 66 633 0 19 May 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 2,230 0 17 Mar 2017
Generative Visual Manipulation on the Natural Image Manifold Jun-Yan Zhu Philipp Krahenbuhl Eli Shechtman Alexei A. Efros GAN 80 1,399 0 12 Sep 2016
A Locally Adaptive Normal Distribution Georgios Arvanitidis Lars Kai Hansen Søren Hauberg 52 29 0 08 Jun 2016
Deep Structured Energy Based Models for Anomaly Detection Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang 75 427 0 25 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 261 14,012 0 19 Nov 2015