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Adversarially Learned One-Class Classifier for Novelty Detection
v1v2 (latest)

Adversarially Learned One-Class Classifier for Novelty Detection

25 February 2018
Mohammad Sabokrou
Mohammad Khalooei
M. Fathy
Ehsan Adeli
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarially Learned One-Class Classifier for Novelty Detection"

50 / 163 papers shown
Title
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
150
806
0
24 Sep 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning
Junjie Wang
Qichao Zhang
Dongbin Zhao
Mengchen Zhao
Jianye Hao
OffRL
55
5
0
21 Sep 2020
Unsupervised Anomaly Detection on Temporal Multiway Data
Unsupervised Anomaly Detection on Temporal Multiway Data
D. Nguyen
Phuoc Nguyen
Kien Do
Santu Rana
Sunil R. Gupta
T. Tran
36
2
0
20 Sep 2020
Improved anomaly detection by training an autoencoder with skip
  connections on images corrupted with Stain-shaped noise
Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise
Anne-Sophie Collin
Christophe De Vleeschouwer
105
87
0
29 Aug 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
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
115
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
Novelty Detection Through Model-Based Characterization of Neural
  Networks
Novelty Detection Through Model-Based Characterization of Neural Networks
Gukyeong Kwon
Mohit Prabhushankar
Dogancan Temel
Ghassan AlRegib
53
23
0
13 Aug 2020
Backpropagated Gradient Representations for Anomaly Detection
Backpropagated Gradient Representations for Anomaly Detection
Gukyeong Kwon
Mohit Prabhushankar
Dogancan Temel
Ghassan AlRegib
83
75
0
18 Jul 2020
Deep Learning for Anomaly Detection: A Review
Deep Learning for Anomaly Detection: A Review
Guansong Pang
Chunhua Shen
LongBing Cao
Anton Van Den Hengel
200
951
0
06 Jul 2020
Improving auto-encoder novelty detection using channel attention and
  entropy minimization
Improving auto-encoder novelty detection using channel attention and entropy minimization
Miao Tian
Dongyan Guo
Ying Cui
Xiang Pan
Shengyong Chen
21
4
0
03 Jul 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Jihun Yi
Sungroh Yoon
197
387
0
29 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
85
0
23 Jun 2020
G2D: Generate to Detect Anomaly
G2D: Generate to Detect Anomaly
M. PourReza
Bahram Mohammadi
Mostafa Khaki
Samir Bouindour
H. Snoussi
Mohammad Sabokrou
76
64
0
20 Jun 2020
Rethinking Assumptions in Deep Anomaly Detection
Rethinking Assumptions in Deep Anomaly Detection
Lukas Ruff
Robert A. Vandermeulen
Billy Joe Franks
Klaus-Robert Muller
Marius Kloft
115
91
0
30 May 2020
Spoof Face Detection Via Semi-Supervised Adversarial Training
Spoof Face Detection Via Semi-Supervised Adversarial Training
Chengwei Chen
Wang Yuan
Xuequan Lu
Lizhuang Ma
AAMLPICVCVBM
8
2
0
22 May 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain
  Recommendation
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation
A. Krishnan
Mahashweta Das
M. Bendre
Hao Yang
Hari Sundaram
62
67
0
21 May 2020
Motion and Region Aware Adversarial Learning for Fall Detection with
  Thermal Imaging
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging
V. Mehta
Abhinav Dhall
Sujata Pal
Shehroz S. Khan
59
25
0
17 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
113
222
0
16 Apr 2020
Continual Learning for Anomaly Detection in Surveillance Videos
Continual Learning for Anomaly Detection in Surveillance Videos
Keval Doshi
Y. Yilmaz
392
110
0
15 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
100
180
0
13 Apr 2020
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Keval Doshi
Y. Yilmaz
148
75
0
05 Apr 2020
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders
Gowthami Somepalli
Y. Wu
Yogesh Balaji
B. Vinzamuri
Soheil Feizi
66
3
0
24 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
75
210
0
15 Mar 2020
Fast Distance-based Anomaly Detection in Images Using an Inception-like
  Autoencoder
Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder
Natasa Sarafijanovic-Djukic
Jesse Davis
77
25
0
12 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
RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few
  Identified Anomalies
RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies
Zhe Li
Chunhua Sun
Chunli Liu
Xiayu Chen
Meng Wang
Yezheng Liu
32
5
0
07 Mar 2020
Why is the Mahalanobis Distance Effective for Anomaly Detection?
Why is the Mahalanobis Distance Effective for Anomaly Detection?
Ryo Kamoi
Kei Kobayashi
OODD
206
60
0
01 Mar 2020
Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic
  Conditions
Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions
Mohammad Sabokrou
M. PourReza
Xiaobai Li
M. Fathy
Guoying Zhao
3DHCVBM
107
42
0
12 Feb 2020
Novelty Detection via Non-Adversarial Generative Network
Novelty Detection via Non-Adversarial Generative Network
Chengwei Chen
Wang Yuan
Yuan Xie
Yanyun Qu
Y. Tao
Haichuan Song
Lizhuang Ma
GAN
61
9
0
03 Feb 2020
Novelty Detection Via Blurring
Novelty Detection Via Blurring
Sung-Ik Choi
Sae-Young Chung
UQCV
73
36
0
27 Nov 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
135
50
0
25 Nov 2019
Outside the Box: Abstraction-Based Monitoring of Neural Networks
Outside the Box: Abstraction-Based Monitoring of Neural Networks
T. Henzinger
Anna Lukina
Christian Schilling
AAML
93
59
0
20 Nov 2019
A Promotion Method for Generation Error Based Video Anomaly Detection
A Promotion Method for Generation Error Based Video Anomaly Detection
Zhiguo Wang
Zhongliang Yang
Yujin Zhang
143
16
0
19 Nov 2019
AutoIDS: Auto-encoder Based Method for Intrusion Detection System
AutoIDS: Auto-encoder Based Method for Intrusion Detection System
Mohammed Gharib
Bahram Mohammadi
Shadi Hejareh Dastgerdi
Mohammad Sabokrou
80
34
0
08 Nov 2019
Cross Domain Image Matching in Presence of Outliers
Cross Domain Image Matching in Presence of Outliers
X. Liu
Seyran Khademi
Jan van Gemert
OOD
13
2
0
08 Sep 2019
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
80
95
0
05 Sep 2019
Self-Supervised Representation Learning via Neighborhood-Relational
  Encoding
Self-Supervised Representation Learning via Neighborhood-Relational Encoding
Mohammad Sabokrou
Mohammad Khalooei
Ehsan Adeli
SSL
135
35
0
27 Aug 2019
Anomaly Detection in Video Sequence with Appearance-Motion
  Correspondence
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
Trong-Nguyen Nguyen
J. Meunier
104
347
0
17 Aug 2019
Simultaneous Semantic Segmentation and Outlier Detection in Presence of
  Domain Shift
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
Petra Bevandić
Ivan Kreso
Marin Orsic
Sinisa Segvic
84
82
0
03 Aug 2019
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and
  Time-Evolving Categorical Data
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data
Zheng Gao
Lin Guo
Chi Ma
Xiao Ma
Kai Sun
Hang Xiang
Xiaoqiang Zhu
Hongsong Li
Xiaozhong Liu
26
5
0
12 Jul 2019
Connectivity-Optimized Representation Learning via Persistent Homology
Connectivity-Optimized Representation Learning via Persistent Homology
Christoph Hofer
Roland Kwitt
Mandar Dixit
Marc Niethammer
67
77
0
21 Jun 2019
Novelty Detection via Network Saliency in Visual-based Deep Learning
Novelty Detection via Network Saliency in Visual-based Deep Learning
Valerie Chen
Man-Ki Yoon
Zhong Shao
36
3
0
09 Jun 2019
One-Way Prototypical Networks
One-Way Prototypical Networks
Anna M. Kruspe
VLM
103
14
0
03 Jun 2019
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz
  Discriminators
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators
Alexander Tong
Guy Wolf
Smita Krishnaswamy
45
4
0
26 May 2019
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Shehroz S. Khan
Jacob Nogas
Alex Mihailidis
38
22
0
19 May 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
106
159
0
05 Apr 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
93
1,275
0
04 Apr 2019
Adversarially Learned Abnormal Trajectory Classifier
Adversarially Learned Abnormal Trajectory Classifier
Pankaj Raj Roy
Guillaume-Alexandre Bilodeau
GAN
124
10
0
26 Mar 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent
  Representations
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
Pramuditha Perera
Ramesh Nallapati
Bing Xiang
148
527
0
20 Mar 2019
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