Augment to Detect Anomalies with Continuous Labelling

3 July 2022

Papers citing "Augment to Detect Anomalies with Continuous Labelling"

27 / 27 papers shown

Title
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection John Taylor Jewell Vahid Reza Khazaie Y. Mohsenzadeh 46 28 0 27 Mar 2021
Multiresolution Knowledge Distillation for Anomaly Detection Mohammadreza Salehi Niousha Sadjadi Soroosh Baselizadeh M. Rohban Hamid R. Rabiee 113 440 0 22 Nov 2020
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning Mariana-Iuliana Georgescu Antonio Bărbălău Radu Tudor Ionescu Fahad Shahbaz Khan Marius Popescu M. Shah SSL 77 258 0 15 Nov 2020
G2D: Generate to Detect Anomaly M. PourReza Bahram Mohammadi Mostafa Khaki Samir Bouindour H. Snoussi Mohammad Sabokrou 46 63 0 20 Jun 2020
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm M. Zaheer Jin-ha Lee Marcella Astrid Seung-Ik Lee AAML 59 221 0 16 Apr 2020
Learning Memory-guided Normality for Anomaly Detection Hyunjong Park Jongyoun Noh Bumsub Ham 56 636 0 30 Mar 2020
DROCC: Deep Robust One-Class Classification Sachin Goyal Aditi Raghunathan Moksh Jain H. Simhadri Prateek Jain VLM 61 164 0 28 Feb 2020
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 72 662 0 06 Nov 2019
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence Trong-Nguyen Nguyen J. Meunier 82 347 0 17 Aug 2019
Exploring Deep Anomaly Detection Methods Based on Capsule Net Xiaoyan Li I. Kiringa T. Yeap Xiao-Dan Zhu Yifeng Li UQCV 3DPC 69 20 0 15 Jul 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 47 1,262 0 04 Apr 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations Pramuditha Perera Ramesh Nallapati Bing Xiang 110 526 0 20 Mar 2019
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection David Zimmerer Simon A. A. Kohl Jens Petersen Fabian Isensee Klaus H. Maier-Hein DRL 60 128 0 14 Dec 2018
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video Radu Tudor Ionescu Fahad Shahbaz Khan Mariana-Iuliana Georgescu Ling Shao 160 327 0 11 Dec 2018
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 100 434 0 04 Jul 2018
STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection Sangmin Lee Hak Gu Kim Yong Man Ro 3DPC GAN 50 83 0 23 Apr 2018
Adversarially Learned One-Class Classifier for Novelty Detection Mohammad Sabokrou Mohammad Khalooei M. Fathy Ehsan Adeli AAML 147 693 0 25 Feb 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline Wen Liu Weixin Luo Dongze Lian Shenghua Gao 3DH 173 1,077 0 28 Dec 2017
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge Ryota Hinami Tao Mei Shiníchi Satoh 239 230 0 26 Sep 2017
Abnormal Event Detection in Videos using Generative Adversarial Nets Mahdyar Ravanbakhsh Moin Nabi E. Sangineto L. Marcenaro C. Regazzoni N. Sebe GAN 103 437 0 31 Aug 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 280 8,878 0 25 Aug 2017
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds Mahdyar Ravanbakhsh E. Sangineto Moin Nabi N. Sebe GAN 142 194 0 23 Jun 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 106 2,229 0 17 Mar 2017
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder Yong Shean Chong Yong Haur Tay 63 541 0 06 Jan 2017
Deep Structured Energy Based Models for Anomaly Detection Shuangfei Zhai Yu Cheng Weining Lu Zhongfei Zhang 69 427 0 25 May 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 250 14,008 0 19 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014