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Y-GAN: Learning Dual Data Representations for Efficient Anomaly
  Detection

Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection

28 September 2021
Marija Ivanovska
Vitomir Štruc
ArXivPDFHTML

Papers citing "Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection"

50 / 50 papers shown
Title
DRAEM -- A discriminatively trained reconstruction embedding for surface
  anomaly detection
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection
Vitjan Zavrtanik
Matej Kristan
D. Skočaj
62
602
0
17 Aug 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
64
891
0
15 Jun 2021
Brittle Features May Help Anomaly Detection
Brittle Features May Help Anomaly Detection
Kimberly T. Mai
Toby P Davies
Lewis D. Griffin
52
2
0
21 Apr 2021
One-Class Classification: A Survey
One-Class Classification: A Survey
Pramuditha Perera
Poojan Oza
Vishal M. Patel
64
112
0
08 Jan 2021
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
46
60
0
09 Dec 2020
Multiresolution Knowledge Distillation for Anomaly Detection
Multiresolution Knowledge Distillation for Anomaly Detection
Mohammadreza Salehi
Niousha Sadjadi
Soroosh Baselizadeh
M. Rohban
Hamid R. Rabiee
97
439
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
54
827
0
17 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and
  Segmentation
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Tal Reiss
Niv Cohen
Liron Bergman
Yedid Hoshen
37
249
0
12 Oct 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
54
787
0
24 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
44
86
0
29 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
59
117
0
09 Aug 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
109
384
0
29 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
98
236
0
28 May 2020
Classification-Based Anomaly Detection for General Data
Classification-Based Anomaly Detection for General Data
Liron Bergman
Yedid Hoshen
30
347
0
05 May 2020
Sub-Image Anomaly Detection with Deep Pyramid Correspondences
Sub-Image Anomaly Detection with Deep Pyramid Correspondences
Niv Cohen
Yedid Hoshen
47
471
0
05 May 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
39
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
170
109
0
15 Apr 2020
Learning Memory-guided Normality for Anomaly Detection
Learning Memory-guided Normality for Anomaly Detection
Hyunjong Park
Jongyoun Noh
Bumsub Ham
33
630
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
36
209
0
15 Mar 2020
Memory Augmented Generative Adversarial Networks for Anomaly Detection
Memory Augmented Generative Adversarial Networks for Anomaly Detection
Ziyi Yang
Teng Zhang
I. S. Bozchalooi
Eric F. Darve
GAN
11
26
0
07 Feb 2020
Graph Embedded Pose Clustering for Anomaly Detection
Graph Embedded Pose Clustering for Anomaly Detection
Amir Markovitz
Gilad Sharir
Itamar Friedman
Lihi Zelnik-Manor
S. Avidan
3DH
34
167
0
26 Dec 2019
Uninformed Students: Student-Teacher Anomaly Detection with
  Discriminative Latent Embeddings
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings
Paul Bergmann
Michael Fauser
David Sattlegger
C. Steger
58
660
0
06 Nov 2019
Anomaly Detection in Video Sequence with Appearance-Motion
  Correspondence
Anomaly Detection in Video Sequence with Appearance-Motion Correspondence
Trong-Nguyen Nguyen
J. Meunier
69
345
0
17 Aug 2019
Using Self-Supervised Learning Can Improve Model Robustness and
  Uncertainty
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Mantas Mazeika
Saurav Kadavath
D. Song
OOD
SSL
31
940
0
28 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
81
17,950
0
28 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
29
1,254
0
04 Apr 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
104
523
0
20 Mar 2019
Active Authentication using an Autoencoder regularized CNN-based
  One-Class Classifier
Active Authentication using an Autoencoder regularized CNN-based One-Class Classifier
Poojan Oza
Vishal M. Patel
93
31
0
04 Mar 2019
Online PCB Defect Detector On A New PCB Defect Dataset
Online PCB Defect Detector On A New PCB Defect Dataset
Sanli Tang
Fan He
Xiaolin Huang
Jie Yang
13
104
0
17 Feb 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder
  Anomaly Detection
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
UQCV
73
375
0
25 Jan 2019
Deep Learning for Anomaly Detection: A Survey
Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy
Sanjay Chawla
AI4TS
106
1,486
0
10 Jan 2019
Adversarially Learned Anomaly Detection
Adversarially Learned Anomaly Detection
Houssam Zenati
Manon Romain
Chuan-Sheng Foo
Bruno Lecouat
V. Chandrasekhar
GAN
47
402
0
06 Dec 2018
Anomaly Detection using Deep Learning based Image Completion
Anomaly Detection using Deep Learning based Image Completion
Matthias Haselmann
D. Gruber
Paul Tabatabai
UQCV
26
106
0
16 Nov 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
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
62
603
0
28 May 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
GAN
57
1,377
0
17 May 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
187
3,272
0
21 Mar 2018
Learning Deep Features for One-Class Classification
Learning Deep Features for One-Class Classification
Pramuditha Perera
Vishal M. Patel
98
370
0
16 Jan 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
127
8,807
0
25 Aug 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to
  Guide Marker Discovery
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
T. Schlegl
Philipp Seeböck
S. Waldstein
U. Schmidt-Erfurth
Georg Langs
MedIm
GAN
58
2,219
0
17 Mar 2017
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
280
19,560
0
21 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
200
19,796
0
07 Oct 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
358
8,999
0
10 Jun 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
128
2,965
0
30 Mar 2016
Generating Images with Perceptual Similarity Metrics based on Deep
  Networks
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy
Thomas Brox
DRL
GAN
67
1,137
0
08 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
226
13,968
0
19 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.0K
76,547
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
678
149,474
0
22 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
211
5,972
0
26 Sep 2014
Robust PCA via Outlier Pursuit
Robust PCA via Outlier Pursuit
Huan Xu
Constantine Caramanis
Sujay Sanghavi
76
766
0
20 Oct 2010
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