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Learning Not to Reconstruct Anomalies

Learning Not to Reconstruct Anomalies

19 October 2021
Marcella Astrid
M. Zaheer
Jae-Yeong Lee
Seung-Ik Lee
ArXivPDFHTML

Papers citing "Learning Not to Reconstruct Anomalies"

32 / 32 papers shown
Title
Autoencoders for Anomaly Detection are Unreliable
Autoencoders for Anomaly Detection are Unreliable
Roel Bouman
Tom Heskes
60
1
0
23 Jan 2025
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection
Xiaofeng Tan
Hongsong Wang
Xin Geng
Liang Wang
DiffM
AAML
VGen
116
0
0
04 Dec 2024
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
51
133
0
24 Nov 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
77
158
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
64
193
0
27 Aug 2020
G2D: Generate to Detect Anomaly
G2D: Generate to Detect Anomaly
M. PourReza
Bahram Mohammadi
Mostafa Khaki
Samir Bouindour
H. Snoussi
Mohammad Sabokrou
39
62
0
20 Jun 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
49
221
0
16 Apr 2020
Continual Learning for Anomaly Detection in Surveillance Videos
Continual Learning for Anomaly Detection in Surveillance Videos
Keval Doshi
Y. Yilmaz
205
109
0
15 Apr 2020
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Keval Doshi
Y. Yilmaz
69
73
0
05 Apr 2020
Learning Memory-guided Normality for Anomaly Detection
Learning Memory-guided Normality for Anomaly Detection
Hyunjong Park
Jongyoun Noh
Bumsub Ham
48
634
0
30 Mar 2020
Learning a distance function with a Siamese network to localize
  anomalies in videos
Learning a distance function with a Siamese network to localize anomalies in videos
B. Ramachandra
Michael Jeffrey Jones
Ranga Raju Vatsavai
71
78
0
24 Jan 2020
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection
Future Frame Prediction Using Convolutional VRNN for Anomaly Detection
Yiwei Lu
Mahesh Kumar Krishna Reddy
Seyed shahabeddin Nabavi
Yang Wang
DRL
48
95
0
05 Sep 2019
Anomaly Detection in Video Sequence with Appearance-Motion
  Correspondence
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
Trong-Nguyen Nguyen
J. Meunier
77
345
0
17 Aug 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
587
4,735
0
13 May 2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep
  Autoencoder for Unsupervised Anomaly Detection
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
39
1,254
0
04 Apr 2019
Autoencoding Binary Classifiers for Supervised Anomaly Detection
Autoencoding Binary Classifiers for Supervised Anomaly Detection
Yuki Yamanaka
Tomoharu Iwata
Hiroshi Takahashi
Masanori Yamada
Sekitoshi Kanai
26
38
0
26 Mar 2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action
  Classifier for Anomaly Detection
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Jia-Xing Zhong
Nannan Li
Weijie Kong
Shan Liu
Thomas H. Li
Ge Li
NoLa
SSL
96
401
0
18 Mar 2019
Street Scene: A new dataset and evaluation protocol for video anomaly
  detection
Street Scene: A new dataset and evaluation protocol for video anomaly detection
B. Ramachandra
Michael J. Jones
57
148
0
15 Feb 2019
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event
  Detection in Video
Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video
Radu Tudor Ionescu
Fahad Shahbaz Khan
Mariana-Iuliana Georgescu
Ling Shao
101
324
0
11 Dec 2018
Latent Space Autoregression for Novelty Detection
Latent Space Autoregression for Novelty Detection
Davide Abati
Angelo Porrello
Simone Calderara
Rita Cucchiara
98
432
0
04 Jul 2018
STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection
STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection
Sangmin Lee
Hak Gu Kim
Yong Man Ro
3DPC
GAN
43
83
0
23 Apr 2018
Adversarially Learned One-Class Classifier for Novelty Detection
Adversarially Learned One-Class Classifier for Novelty Detection
Mohammad Sabokrou
Mohammad Khalooei
M. Fathy
Ehsan Adeli
AAML
93
690
0
25 Feb 2018
Real-world Anomaly Detection in Surveillance Videos
Real-world Anomaly Detection in Surveillance Videos
Waqas Sultani
Chen Chen
M. Shah
AI4TS
112
1,468
0
12 Jan 2018
Detecting abnormal events in video using Narrowed Normality Clusters
Detecting abnormal events in video using Narrowed Normality Clusters
Radu Tudor Ionescu
Sorina Smeureanu
Marius Popescu
B. Alexe
60
96
0
12 Jan 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline
Future Frame Prediction for Anomaly Detection -- A New Baseline
Wen Liu
Weixin Luo
Dongze Lian
Shenghua Gao
3DH
105
1,069
0
28 Dec 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
251
9,687
0
25 Oct 2017
Joint Detection and Recounting of Abnormal Events by Learning Deep
  Generic Knowledge
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
Ryota Hinami
Tao Mei
Shiníchi Satoh
196
228
0
26 Sep 2017
Abnormal Event Detection in Videos using Generative Adversarial Nets
Abnormal Event Detection in Videos using Generative Adversarial Nets
Mahdyar Ravanbakhsh
Moin Nabi
E. Sangineto
L. Marcenaro
C. Regazzoni
N. Sebe
GAN
47
436
0
31 Aug 2017
Limiting the Reconstruction Capability of Generative Neural Network
  using Negative Learning
Limiting the Reconstruction Capability of Generative Neural Network using Negative Learning
Asim Munawar
Phongtharin Vinayavekhin
Giovanni De Magistris
31
47
0
16 Aug 2017
A Discriminative Framework for Anomaly Detection in Large Videos
A Discriminative Framework for Anomaly Detection in Large Videos
Allison Del Giorno
J. Andrew Bagnell
M. Hebert
AI4TS
74
183
0
28 Sep 2016
Learning Temporal Regularity in Video Sequences
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
Amit K. Roy-Chowdhury
L. Davis
116
1,098
0
15 Apr 2016
Learning Deep Representations of Appearance and Motion for Anomalous
  Event Detection
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
Dan Xu
Elisa Ricci
Yan Yan
Jingkuan Song
N. Sebe
114
512
0
06 Oct 2015
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