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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"

50 / 236 papers shown
Title
Augment to Detect Anomalies with Continuous Labelling
Augment to Detect Anomalies with Continuous Labelling
Vahid Reza Khazaie
A. Wong
Y. Mohsenzadeh
118
1
0
03 Jul 2022
Anomaly Detection with Adversarially Learned Perturbations of Latent
  Space
Anomaly Detection with Adversarially Learned Perturbations of Latent Space
Vahid Reza Khazaie
A. Wong
John Taylor Jewell
Y. Mohsenzadeh
AAML
123
4
0
03 Jul 2022
Timestamp-Supervised Action Segmentation with Graph Convolutional
  Networks
Timestamp-Supervised Action Segmentation with Graph Convolutional Networks
Hamza Khan
S. Haresh
Awais Ahmed
Shakeeb Siddiqui
Andrey Konin
Mohammad Zeeshan
Quoc-Huy Tran
86
22
0
30 Jun 2022
Robustness Evaluation of Deep Unsupervised Learning Algorithms for
  Intrusion Detection Systems
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
D'Jeff K. Nkashama
Ariana Soltani
Jean-Charles Verdier
Marc Frappier
Pierre-Marting Tardif
F. Kabanza
OODAAML
68
6
0
25 Jun 2022
A Feature Memory Rearrangement Network for Visual Inspection of Textured
  Surface Defects Toward Edge Intelligent Manufacturing
A Feature Memory Rearrangement Network for Visual Inspection of Textured Surface Defects Toward Edge Intelligent Manufacturing
Haiming Yao
Wen-yong Yu
Xue Wang
59
41
0
22 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution
  Detection
READ: Aggregating Reconstruction Error into Out-of-distribution Detection
Wenyu Jiang
Yuxin Ge
Hao Cheng
Mingcai Chen
Shuai Feng
Chongjun Wang
OODD
113
12
0
15 Jun 2022
A Unified Model for Multi-class Anomaly Detection
A Unified Model for Multi-class Anomaly Detection
Zhiyuan You
Lei Cui
Yujun Shen
Kai Yang
Xin Lu
Yu Zheng
Xinyi Le
82
230
0
08 Jun 2022
Anomaly Detection with Test Time Augmentation and Consistency Evaluation
Anomaly Detection with Test Time Augmentation and Consistency Evaluation
Haowei He
Jiaye Teng
Yang Yuan
15
2
0
06 Jun 2022
Diminishing Empirical Risk Minimization for Unsupervised Anomaly
  Detection
Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection
Shaoshen Wang
Yanbin Liu
Ling Chen
Chengqi Zhang
51
0
0
29 May 2022
Anomaly detection using prediction error with Spatio-Temporal
  Convolutional LSTM
Anomaly detection using prediction error with Spatio-Temporal Convolutional LSTM
Hanh T. M. Tran
David C. Hogg
AI4TS
44
1
0
18 May 2022
Self-Supervised Masking for Unsupervised Anomaly Detection and
  Localization
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
Chaoqin Huang
Qinwei Xu
Yanfeng Wang
Yu Wang
Ya Zhang
89
69
0
13 May 2022
Deep Federated Anomaly Detection for Multivariate Time Series Data
Deep Federated Anomaly Detection for Multivariate Time Series Data
Wei Zhu
Dongjin Song
Yuncong Chen
Wei Cheng
Bo Zong
Takehiko Mizoguchi
C. Lumezanu
Haifeng Chen
Jiebo Luo
FedMLOODAI4TS
41
5
0
09 May 2022
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network
  Anomaly Detection
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection
W. T. Lunardi
Martin Andreoni Lopez
J. Giacalone
104
23
0
03 May 2022
Discriminative Feature Learning Framework with Gradient Preference for
  Anomaly Detection
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
Muhao Xu
Xueying Zhou
Xizhan Gao
Wei-Xiong He
Sijie Niu
76
8
0
23 Apr 2022
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection
  Algorithms
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms
Maxime Alvarez
Jean-Charles Verdier
D'Jeff K. Nkashama
Marc Frappier
Pierre Martin Tardif
F. Kabanza
69
17
0
21 Apr 2022
A Video Anomaly Detection Framework based on Appearance-Motion Semantics
  Representation Consistency
A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency
Xiangyu Huang
Caidan Zhao
Yilin Wang
Zhiqiang Wu
73
17
0
08 Apr 2022
Adversarial Machine Learning Attacks Against Video Anomaly Detection
  Systems
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems
Furkan Mumcu
Keval Doshi
Yasin Yılmaz
AAML
63
9
0
07 Apr 2022
Unsupervised Change Detection Based on Image Reconstruction Loss
Unsupervised Change Detection Based on Image Reconstruction Loss
Hyeoncheol Noh
Jingi Ju
Min-seok Seo
Jong-chan Park
Dong-Geol Choi
92
37
0
04 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly
  Detection
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
Choubo Ding
Guansong Pang
Chunhua Shen
OOD
96
117
0
28 Mar 2022
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision
Jaeyoo Park
Junha Kim
Bohyung Han
OffRL
65
5
0
25 Mar 2022
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented
  Multi-level Cross-attentional Masked Autoencoder
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder
Yu Tian
Guansong Pang
Yuyuan Liu
Chong Wang
Yuanhong Chen
Fengbei Liu
Rajvinder Singh
Johan Verjans
Mengyu Wang
G. Carneiro
ViT
111
24
0
22 Mar 2022
AnoViT: Unsupervised Anomaly Detection and Localization with Vision
  Transformer-based Encoder-Decoder
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder
Yunseung Lee
Pilsung Kang
ViT
85
77
0
21 Mar 2022
Towards 3D Scene Understanding by Referring Synthetic Models
Towards 3D Scene Understanding by Referring Synthetic Models
Runnan Chen
Xinge Zhu
Nenglun Chen
Dawei Wang
Wei Li
Yuexin Ma
Ruigang Yang
Wenping Wang
3DPC
111
6
0
20 Mar 2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in
  Autonomous Driving
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Kaican Li
Kai Chen
Haoyu Wang
Lanqing Hong
Chao Ye
...
Chunjing Xu
Dit-Yan Yeung
Xiaodan Liang
Zhenguo Li
Hang Xu
100
103
0
15 Mar 2022
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
M. Zaheer
Arif Mahmood
M. H. Khan
Mattia Segu
Feng Yu
Seung-Ik Lee
AI4TS
109
140
0
08 Mar 2022
Object-centric and memory-guided normality reconstruction for video
  anomaly detection
Object-centric and memory-guided normality reconstruction for video anomaly detection
K. Bergaoui
Yassine Naji
Aleksandr Setkov
Angélique Loesch
M. Gouiffès
Romaric Audigier
32
6
0
07 Mar 2022
Retrieval Augmented Classification for Long-Tail Visual Recognition
Retrieval Augmented Classification for Long-Tail Visual Recognition
Alex Long
Wei Yin
Thalaiyasingam Ajanthan
Vu-Linh Nguyen
Pulak Purkait
Ravi Garg
Alan Blair
Chunhua Shen
Anton Van Den Hengel
70
113
0
22 Feb 2022
Memory-guided Image De-raining Using Time-Lapse Data
Memory-guided Image De-raining Using Time-Lapse Data
Jaehoon Cho
Seungryong Kim
Kwanghoon Sohn
108
5
0
06 Jan 2022
Adaptive Memory Networks with Self-supervised Learning for Unsupervised
  Anomaly Detection
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection
Yu-xin Zhang
Jindong Wang
Yiqiang Chen
Hanchao Yu
Tao Qin
AI4TS
70
58
0
03 Jan 2022
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism
  for Homophily and Heterophily
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily
Tao Wang
Rui-xia Wang
Di Jin
Dongxiao He
Yuxiao Huang
50
29
0
27 Dec 2021
Multimedia Datasets for Anomaly Detection: A Review
Multimedia Datasets for Anomaly Detection: A Review
Pratibha Kumari
Anterpreet Kaur Bedi
Mukesh Saini
73
9
0
10 Dec 2021
Progressive Attention on Multi-Level Dense Difference Maps for Generic
  Event Boundary Detection
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection
Jiaqi Tang
Zhaoyang Liu
Chao Qian
Wayne Wu
Limin Wang
96
18
0
09 Dec 2021
Constrained Adaptive Projection with Pretrained Features for Anomaly
  Detection
Constrained Adaptive Projection with Pretrained Features for Anomaly Detection
Xingtai Gui
Di Wu
Yang Chang
Shicai Fan
36
5
0
05 Dec 2021
Unsupervised Online Learning for Robotic Interestingness with Visual
  Memory
Unsupervised Online Learning for Robotic Interestingness with Visual Memory
Chen Wang
Yuheng Qiu
Wenshan Wang
Yafei Hu
Seungchan Kim
Sebastian Scherer
OffRL
68
14
0
18 Nov 2021
Self-Supervised Predictive Convolutional Attentive Block for Anomaly
  Detection
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
Nicolae-Cătălin Ristea
Neelu Madan
Radu Tudor Ionescu
Kamal Nasrollahi
Fahad Shahbaz Khan
T. Moeslund
M. Shah
122
196
0
17 Nov 2021
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
Andra Acsintoae
Andrei Florescu
Mariana-Iuliana Georgescu
Tudor Mare
Paul Sumedrea
Radu Tudor Ionescu
Fahad Shahbaz Khan
M. Shah
AI4TS
104
96
0
16 Nov 2021
Learnable Locality-Sensitive Hashing for Video Anomaly Detection
Learnable Locality-Sensitive Hashing for Video Anomaly Detection
Yue Lu
Congqi Cao
Yanning Zhang
58
27
0
15 Nov 2021
FastFlow: Unsupervised Anomaly Detection and Localization via 2D
  Normalizing Flows
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
Jiawei Yu1
Ye Zheng
Xiang Wang
Wei Li
Yushuang Wu
Rui Zhao
Liwei Wu
81
314
0
15 Nov 2021
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample
  Generation on the Boundary
OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary
Nikolaos Dionelis
Mehrdad Yaghoobi
Sotirios A. Tsaftaris
OODD
47
6
0
28 Oct 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution
  Detection: Solutions and Future Challenges
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi
Hossein Mirzaei
Dan Hendrycks
Yixuan Li
M. Rohban
Mohammad Sabokrou
OOD
152
199
0
26 Oct 2021
Latent-Insensitive autoencoders for Anomaly Detection
Latent-Insensitive autoencoders for Anomaly Detection
Muhammad S. Battikh
Artem Lenskiy
UQCV
50
6
0
25 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
309
950
0
21 Oct 2021
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
Marcella Astrid
M. Zaheer
Seung-Ik Lee
AI4TS
73
46
0
19 Oct 2021
Learning Not to Reconstruct Anomalies
Learning Not to Reconstruct Anomalies
Marcella Astrid
M. Zaheer
Jae-Yeong Lee
Seung-Ik Lee
82
47
0
19 Oct 2021
Memory-augmented Adversarial Autoencoders for Multivariate Time-series
  Anomaly Detection with Deep Reconstruction and Prediction
Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction
Qinfeng Xiao
Shikuan Shao
Jing Wang
AI4TS
31
7
0
15 Oct 2021
Deep Video Anomaly Detection: Opportunities and Challenges
Deep Video Anomaly Detection: Opportunities and Challenges
Jing Ren
Xiwei Xu
Ye Liu
Ivan Lee
37
41
0
11 Oct 2021
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for
  Anomaly Detection and Localization
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization
Ye Zheng
Xiang Wang
Rui Deng
Tianpeng Bao
Rui Zhao
Liwei Wu
OOD
83
65
0
09 Oct 2021
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Marco Rudolph
Tom Wehrbein
Bodo Rosenhahn
Bastian Wandt
UQCV
138
222
0
06 Oct 2021
Y-GAN: Learning Dual Data Representations for Efficient Anomaly
  Detection
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection
Marija Ivanovska
Vitomir Štruc
84
2
0
28 Sep 2021
Memory Regulation and Alignment toward Generalizer RGB-Infrared Person
Memory Regulation and Alignment toward Generalizer RGB-Infrared Person
Feng Chen
Leilei Gan
Qi Wu
Zhiguo Wan
104
6
0
18 Sep 2021
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