Self-Supervised Training with Autoencoders for Visual Anomaly Detection

23 June 2022

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

9 / 59 papers shown

Title
Detecting Anomalous Faces with Ño Peeking' Autoencoders Anand Bhattad Jason Rock David A. Forsyth CVBM 67 15 0 15 Feb 2018
Generative Image Inpainting with Contextual Attention Jiahui Yu Zhe Lin Jimei Yang Xiaohui Shen Xin Lu Thomas S. Huang GAN DiffM 103 2,267 0 24 Jan 2018
Robust, Deep and Inductive Anomaly Detection Raghavendra Chalapathy A. Menon Sanjay Chawla 77 161 0 22 Apr 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 112 2,233 0 17 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 335 20,110 0 07 Oct 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 69 5,300 0 25 Apr 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 151 2,693 0 14 Nov 2013
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 90 505 0 18 Nov 2012