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Memorizing Normality to Detect Anomaly: Memory-augmented Deep
  Autoencoder for Unsupervised Anomaly Detection
v1v2 (latest)

Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection

4 April 2019
Dong Gong
Lingqiao Liu
Vuong Le
Budhaditya Saha
M. Mansour
Svetha Venkatesh
Anton Van Den Hengel
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"

36 / 236 papers shown
Title
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy
  Suppression for Anomalous Event Detection
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
M. Zaheer
Arif Mahmood
Marcella Astrid
Seung-Ik Lee
80
134
0
24 Nov 2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and
  Localization
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
Thomas Defard
Aleksandr Setkov
Angélique Loesch
Romaric Audigier
UQCV
109
855
0
17 Nov 2020
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
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
93
258
0
15 Nov 2020
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame
  Prediction
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Xinyu Wang
Zhengping Che
Bo Jiang
Ning Xiao
Ke Yang
Jian-Bo Tang
Jieping Ye
Jingyu Wang
Q. Qi
91
140
0
05 Nov 2020
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit
  Latent Features
Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features
Myeongah Cho
Taeoh Kim
Woojin Kim
Suhwan Cho
Sangyoun Lee
96
95
0
15 Oct 2020
A Survey on Deep Learning Techniques for Video Anomaly Detection
A Survey on Deep Learning Techniques for Video Anomaly Detection
Jessie James P. Suarez
P. Naval
AI4TS
58
33
0
29 Sep 2020
A Unifying Review of Deep and Shallow Anomaly Detection
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
135
806
0
24 Sep 2020
AFP-SRC: Identification of Antifreeze Proteins Using Sparse
  Representation Classifier
AFP-SRC: Identification of Antifreeze Proteins Using Sparse Representation Classifier
Shujaat Khan
Muhammad Usman
Abdul Wahab
82
12
0
11 Sep 2020
Puzzle-AE: Novelty Detection in Images through Solving Puzzles
Puzzle-AE: Novelty Detection in Images through Solving Puzzles
Mohammadreza Salehi
Ainaz Eftekhar
Niousha Sadjadi
M. Rohban
Hamid R. Rabiee
AAML
183
44
0
29 Aug 2020
Same Same But DifferNet: Semi-Supervised Defect Detection with
  Normalizing Flows
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows
Marco Rudolph
Bastian Wandt
Bodo Rosenhahn
UQCV
86
336
0
28 Aug 2020
A Background-Agnostic Framework with Adversarial Training for Abnormal
  Event Detection in Video
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
Fahad Shahbaz Khan
Marius Popescu
M. Shah
113
162
0
27 Aug 2020
Cloze Test Helps: Effective Video Anomaly Detection via Learning to
  Complete Video Events
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events
Guang Yu
Siqi Wang
Zhiping Cai
En Zhu
Chuanfu Xu
Jianping Yin
Marius Kloft
92
197
0
27 Aug 2020
A Self-Reasoning Framework for Anomaly Detection Using Video-Level
  Labels
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels
M. Zaheer
Arif Mahmood
Ho-chul Shin
Seung-Ik Lee
59
82
0
27 Aug 2020
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in
  Retinal Images
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Kang Zhou
Yuting Xiao
Jianlong Yang
Jun Cheng
Wen Liu
Weixin Luo
Zaiwang Gu
Jiang-Dong Liu
Shenghua Gao
MedIm
94
119
0
09 Aug 2020
Self domain adapted network
Self domain adapted network
Yufan He
A. Carass
Lianrui Zuo
Blake E. Dewey
Jerry L. Prince
OOD
79
30
0
07 Jul 2020
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy
Yu Tian
Gabriel Maicas
L. Pu
Rajvinder Singh
Johan Verjans
G. Carneiro
MedIm
76
39
0
26 Jun 2020
Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders
Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders
Nina Shvetsova
Bart Bakker
Irina Fedulova
H. Schulz
Dmitry V. Dylov
90
84
0
23 Jun 2020
Anomaly Detection with Domain Adaptation
Anomaly Detection with Domain Adaptation
Ziyi Yang
I. S. Bozchalooi
Eric F. Darve
OOD
90
31
0
05 Jun 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features
  for Anomaly Detection
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
Oliver Rippel
Patrick Mertens
Dorit Merhof
160
241
0
28 May 2020
Visual Memorability for Robotic Interestingness via Unsupervised Online
  Learning
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning
Chen Wang
Wenshan Wang
Yuheng Qiu
Yafei Hu
Sebastian Scherer
OffRLHAI
93
21
0
18 May 2020
Sub-Image Anomaly Detection with Deep Pyramid Correspondences
Sub-Image Anomaly Detection with Deep Pyramid Correspondences
Niv Cohen
Yedid Hoshen
116
484
0
05 May 2020
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural
  Network Solution
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution
Qingsen Yan
Bo Wang
Dong Gong
Chuan Luo
Wei Zhao
Jianhuo Shen
Javen Qinfeng Shi
Shuo Jin
Liang Zhang
Zheng You
90
151
0
23 Apr 2020
Old is Gold: Redefining the Adversarially Learned One-Class Classifier
  Training Paradigm
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
M. Zaheer
Jin-ha Lee
Marcella Astrid
Seung-Ik Lee
AAML
109
222
0
16 Apr 2020
A Survey of Single-Scene Video Anomaly Detection
A Survey of Single-Scene Video Anomaly Detection
B. Ramachandra
Michael J. Jones
Ranga Raju Vatsavai
AI4TS
88
180
0
13 Apr 2020
Towards Anomaly Detection in Dashcam Videos
Towards Anomaly Detection in Dashcam Videos
S. Haresh
Sateesh Kumar
M. Zia
Quoc-Huy Tran
87
30
0
11 Apr 2020
When, Where, and What? A New Dataset for Anomaly Detection in Driving
  Videos
When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos
Yu Yao
Xizi Wang
Mingze Xu
Zelin Pu
E. Atkins
David J. Crandall
86
44
0
06 Apr 2020
Video Anomaly Detection for Smart Surveillance
Video Anomaly Detection for Smart Surveillance
Sijie Zhu
Chong Chen
Waqas Sultani
133
37
0
01 Apr 2020
Learning Memory-guided Normality for Anomaly Detection
Learning Memory-guided Normality for Anomaly Detection
Hyunjong Park
Jongyoun Noh
Bumsub Ham
103
645
0
30 Mar 2020
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly
  Detection
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection
Guansong Pang
Cheng Yan
Chunhua Shen
Anton Van Den Hengel
Xiao Bai
67
210
0
15 Mar 2020
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty
  Detection
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection
Mohammadreza Salehi
Atrin Arya
Barbod Pajoum
Mohammad Otoofi
Amirreza Shaeiri
M. Rohban
Hamid R. Rabiee
AAML
98
63
0
12 Mar 2020
Memorizing Comprehensively to Learn Adaptively: Unsupervised
  Cross-Domain Person Re-ID with Multi-level Memory
Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory
Xinyu Zhang
Dong Gong
Jiewei Cao
Chunhua Shen
80
6
0
13 Jan 2020
Learning and Memorizing Representative Prototypes for 3D Point Cloud
  Semantic and Instance Segmentation
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
Tong He
Dong Gong
Zhi Tian
Chunhua Shen
3DV
103
39
0
06 Jan 2020
History-based Anomaly Detector: an Adversarial Approach to Anomaly
  Detection
History-based Anomaly Detector: an Adversarial Approach to Anomaly Detection
Pierrick Chatillon
C. Ballester
AAML
82
6
0
26 Dec 2019
Attribute Restoration Framework for Anomaly Detection
Attribute Restoration Framework for Anomaly Detection
Chaoqin Huang
Fei Ye
Jinkun Cao
Maosen Li
Ya Zhang
Cewu Lu
129
50
0
25 Nov 2019
Deep Weakly-supervised Anomaly Detection
Deep Weakly-supervised Anomaly Detection
Guansong Pang
Chunhua Shen
Huidong Jin
Anton van den Hengel
89
94
0
30 Oct 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic
  Segmentation
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Hermann Blum
Paul-Edouard Sarlin
Juan I. Nieto
Roland Siegwart
Cesar Cadena
UQCV
92
159
0
05 Apr 2019
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