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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
Learning Not to Reconstruct Anomalies
Learning Not to Reconstruct Anomalies
Marcella Astrid
M. Zaheer
Jae-Yeong Lee
Seung-Ik Lee
86
47
0
19 Oct 2021
Deep Video Anomaly Detection: Opportunities and Challenges
Deep Video Anomaly Detection: Opportunities and Challenges
Jing Ren
Xiwei Xu
Ye Liu
Ivan Lee
39
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
AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning
AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning
J. Song
Kyeongbo Kong
Ye In Park
Seonggyun Kim
Suk-Ju Kang
79
47
0
07 Oct 2021
Benchmarking Safety Monitors for Image Classifiers with Machine Learning
Benchmarking Safety Monitors for Image Classifiers with Machine Learning
Raul Sena Ferreira
J. Arlat
Jérémie Guiochet
H. Waeselynck
87
26
0
04 Oct 2021
Self-supervised Representation Learning for Reliable Robotic Monitoring
  of Fruit Anomalies
Self-supervised Representation Learning for Reliable Robotic Monitoring of Fruit Anomalies
Taeyeong Choi
Owen Would
A. Gomez
Grzegorz Cielniak
64
16
0
21 Sep 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set
  Classification
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
Jedrzej Kozerawski
M. Turk
VLMMQ
69
5
0
14 Sep 2021
Enhancing Unsupervised Anomaly Detection with Score-Guided Network
Enhancing Unsupervised Anomaly Detection with Score-Guided Network
Zongyuan Huang
Baohua Zhang
Guoqiang Hu
Longyuan Li
Yanyan Xu
Yaohui Jin
65
16
0
10 Sep 2021
Adversarially Robust One-class Novelty Detection
Adversarially Robust One-class Novelty Detection
Shao-Yuan Lo
Poojan Oza
Vishal M. Patel
AAML
71
32
0
25 Aug 2021
Normal Learning in Videos with Attention Prototype Network
Normal Learning in Videos with Attention Prototype Network
Chao Hu
Fan Wu
Weijie Wu
Weibin Qiu
Shengxin Lai
50
1
0
25 Aug 2021
A Survey on Open Set Recognition
A Survey on Open Set Recognition
Atefeh Mahdavi
Marco M. Carvalho
BDL
95
35
0
18 Aug 2021
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance
  Video
Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video
Jie Wu
Wei Zhang
Guanbin Li
Wenhao Wu
Xiao Tan
Yingying Li
Errui Ding
Liang Lin
93
68
0
09 Aug 2021
Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and
  Self-Paced Refinement
Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement
Guang Yu
Siqi Wang
Zhiping Cai
Xinwang Liu
Chuanfu Xu
Cheng-Feng Wu
131
33
0
04 Aug 2021
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly
  Detection
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
Jinlei Hou
Yingying Zhang
Qiaoyong Zhong
Di Xie
Shiliang Pu
Hong Zhou
89
144
0
28 Jul 2021
Unsupervised Outlier Detection using Memory and Contrastive Learning
Unsupervised Outlier Detection using Memory and Contrastive Learning
Ning Huyan
Dou Quan
Xiangrong Zhang
Xuefeng Liang
Jocelyn Chanussot
L. Jiao
94
23
0
27 Jul 2021
Generalized One-Class Learning Using Pairs of Complementary Classifiers
Generalized One-Class Learning Using Pairs of Complementary Classifiers
A. Cherian
Jue Wang
VLM
30
1
0
24 Jun 2021
Towards Total Recall in Industrial Anomaly Detection
Towards Total Recall in Industrial Anomaly Detection
Karsten Roth
Latha Pemula
J. Zepeda
Bernhard Schölkopf
Thomas Brox
Peter V. Gehler
UQCV
131
934
0
15 Jun 2021
Deep Visual Anomaly detection with Negative Learning
Deep Visual Anomaly detection with Negative Learning
Jin-ha Lee
Marcella Astrid
M. Zaheer
Seung-Ik Lee
36
3
0
24 May 2021
Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss
Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss
M. Nakanishi
Kazuki Sato
Hideo Terada
42
7
0
21 May 2021
Video Anomaly Detection By The Duality Of Normality-Granted Optical Flow
Video Anomaly Detection By The Duality Of Normality-Granted Optical Flow
Hongyong Wang
Xinjian Zhang
Su Yang
Weishan Zhang
3DH
48
7
0
10 May 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and
  Localization
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
P. Mishra
Riccardo Verk
Daniele Fornasier
C. Piciarelli
G. Foresti
ViT
128
306
0
20 Apr 2021
Testing for Outliers with Conformal p-values
Testing for Outliers with Conformal p-values
Stephen Bates
Emmanuel Candès
Lihua Lei
Yaniv Romano
Matteo Sesia
176
144
0
16 Apr 2021
Learning Normal Dynamics in Videos with Meta Prototype Network
Learning Normal Dynamics in Videos with Meta Prototype Network
Hui Lv
Chong Chen
Zhen Cui
Chunyan Xu
Yong Li
Jian Yang
108
146
0
14 Apr 2021
Unsupervised Class-Incremental Learning Through Confusion
Unsupervised Class-Incremental Learning Through Confusion
Shivam Khare
Kun Cao
James M. Rehg
SSLCLL
89
6
0
09 Apr 2021
OpenGAN: Open-Set Recognition via Open Data Generation
OpenGAN: Open-Set Recognition via Open Data Generation
Shu Kong
Deva Ramanan
97
220
0
07 Apr 2021
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation
J. Song
Kyeongbo Kong
Ye In Park
Suk-Ju Kang
77
4
0
31 Mar 2021
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context
  Masking for Novelty Detection
OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection
John Taylor Jewell
Vahid Reza Khazaie
Y. Mohsenzadeh
56
28
0
27 Mar 2021
A Modular and Unified Framework for Detecting and Localizing Video
  Anomalies
A Modular and Unified Framework for Detecting and Localizing Video Anomalies
Keval Doshi
Yasin Yılmaz
82
18
0
21 Mar 2021
Anomaly Detection Based on Selection and Weighting in Latent Space
Anomaly Detection Based on Selection and Weighting in Latent Space
Yiwen Liao
Alexander Bartler
Binh Yang
DRL
65
13
0
08 Mar 2021
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution
  Detection with Contrastive Learning
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning
David S. W. Williams
Matthew Gadd
D. Martini
Paul Newman
OODD
62
13
0
01 Mar 2021
Meta-learning One-class Classifiers with Eigenvalue Solvers for
  Supervised Anomaly Detection
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection
Tomoharu Iwata
Atsutoshi Kumagai
51
2
0
01 Mar 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor
Deep One-Class Classification via Interpolated Gaussian Descriptor
Yuanhong Chen
Yu Tian
Guansong Pang
G. Carneiro
VLM
158
100
0
25 Jan 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature
  Magnitude Learning
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
Yu Tian
Guansong Pang
Yuanhong Chen
Rajvinder Singh
Johan Verjans
G. Carneiro
AI4TS
110
313
0
25 Jan 2021
A Joint Representation Learning and Feature Modeling Approach for
  One-class Recognition
A Joint Representation Learning and Feature Modeling Approach for One-class Recognition
Pramuditha Perera
Vishal M. Patel
94
0
0
24 Jan 2021
One-Class Classification: A Survey
One-Class Classification: A Survey
Pramuditha Perera
Poojan Oza
Vishal M. Patel
129
114
0
08 Jan 2021
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly
  Detection
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection
Teguh Budianto
Tomohiro Nakai
Kazunori Imoto
Takahiro Takimoto
Kosuke Haruki
GAN
26
3
0
22 Dec 2020
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
Jie Yang
Yong Shi
Zhiquan Qi
UQCV
155
121
0
13 Dec 2020
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection
MOCCA: Multi-Layer One-Class ClassificAtion for Anomaly Detection
F. V. Massoli
Fabrizio Falchi
Alperen Kantarci
cSeymanur Akti
H. K. Ekenel
Giuseppe Amato
103
62
0
09 Dec 2020
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
Chaoqin Huang
Fei Ye
Peisen Zhao
Ya Zhang
Yanfeng Wang
Qi Tian
59
12
0
09 Dec 2020
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
82
134
0
24 Nov 2020
Multiresolution Knowledge Distillation for Anomaly Detection
Multiresolution Knowledge Distillation for Anomaly Detection
Mohammadreza Salehi
Niousha Sadjadi
Soroosh Baselizadeh
M. Rohban
Hamid R. Rabiee
149
447
0
22 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
135
856
0
17 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
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly
  Detection
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection
Hao Fu
A. Veldanda
Prashanth Krishnamurthy
S. Garg
Farshad Khorrami
AAML
74
14
0
04 Nov 2020
Out-of-Distribution Detection for Automotive Perception
Out-of-Distribution Detection for Automotive Perception
Julia Nitsch
Masha Itkina
Ransalu Senanayake
Juan I. Nieto
M. Schmidt
Roland Siegwart
Mykel J. Kochenderfer
Cesar Cadena
UQCV
81
64
0
03 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
98
95
0
15 Oct 2020
Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical
  Feature Distillation
Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation
Adín Ramirez Rivera
A. Khan
I. E. I. Bekkouch
T. S. Sheikh
78
39
0
10 Oct 2020
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds
  on False Alarm Rate
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate
Keval Doshi
Y. Yilmaz
404
93
0
10 Oct 2020
OneFlow: One-class flow for anomaly detection based on a minimal volume
  region
OneFlow: One-class flow for anomaly detection based on a minimal volume region
Łukasz Maziarka
Marek Śmieja
Marcin Sendera
Łukasz Struski
Jacek Tabor
Przemysław Spurek
67
6
0
06 Oct 2020
Deep Anomaly Detection by Residual Adaptation
Deep Anomaly Detection by Residual Adaptation
Lucas Deecke
Lukas Ruff
Robert A. Vandermeulen
Hakan Bilen
UQCV
87
4
0
05 Oct 2020
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