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Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder
  Anomaly Detection

Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection

25 January 2019
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
    UQCV
ArXivPDFHTML

Papers citing "Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection"

50 / 104 papers shown
Title
Benchmarking Unsupervised Anomaly Detection and Localization
Benchmarking Unsupervised Anomaly Detection and Localization
Ye Zheng
Xiang Wang
Yu-Hang Qi
Wei Li
Liwei Wu
15
14
0
30 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-Qin Zhang
29
66
0
13 May 2022
Object Class Aware Video Anomaly Detection through Image Translation
Object Class Aware Video Anomaly Detection through Image Translation
M. Baradaran
R. Bergevin
22
6
0
03 May 2022
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial
  Images
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
Yajie Cui
Zhaoxiang Liu
Shiguo Lian
OOD
DRL
35
42
0
24 Apr 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
8
7
0
23 Apr 2022
Unknown Face Presentation Attack Detection via Localised Learning of
  Multiple Kernels
Unknown Face Presentation Attack Detection via Localised Learning of Multiple Kernels
Shervin Rahimzadeh Arashloo
CVBM
AAML
17
9
0
22 Apr 2022
TransductGAN: a Transductive Adversarial Model for Novelty Detection
TransductGAN: a Transductive Adversarial Model for Novelty Detection
Najiba Toron
J. Mourão-Miranda
John Shawe-Taylor
9
1
0
29 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks
Machine Learning in NextG Networks via Generative Adversarial Networks
E. Ayanoglu
Kemal Davaslioglu
Y. Sagduyu
GAN
18
34
0
09 Mar 2022
Omni-frequency Channel-selection Representations for Unsupervised
  Anomaly Detection
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
Yufei Liang
Jiangning Zhang
Shiwei Zhao
Ru-Chwen Wu
Yong-Jin Liu
Shuwen Pan
118
116
0
01 Mar 2022
ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent
  Variables
ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables
Hironori Murase
Kenji Fukumizu
17
10
0
21 Feb 2022
Deep-Disaster: Unsupervised Disaster Detection and Localization Using
  Visual Data
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data
Soroor Shekarizadeh
R. Rastgoo
Saif M. Al-Kuwari
Mohammad Sabokrou
17
2
0
31 Jan 2022
A Novel Incremental Learning Driven Instance Segmentation Framework to
  Recognize Highly Cluttered Instances of the Contraband Items
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
N. Werghi
33
23
0
07 Jan 2022
Towards Unsupervised Open World Semantic Segmentation
Towards Unsupervised Open World Semantic Segmentation
Svenja Uhlemeyer
Matthias Rottmann
Hanno Gottschalk
23
18
0
04 Jan 2022
Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine
  Blades From Drone Imagery
Semi-Supervised Surface Anomaly Detection of Composite Wind Turbine Blades From Drone Imagery
Jack W. Barker
Neelanjan Bhowmik
T. Breckon
16
5
0
01 Dec 2021
Improving Novelty Detection using the Reconstructions of Nearest
  Neighbours
Improving Novelty Detection using the Reconstructions of Nearest Neighbours
Michael Mesarcik
E. Ranguelova
A. Boonstra
Rob van Nieuwpoort
11
5
0
11 Nov 2021
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting
  Concealed Baggage Threats
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats
Muhammad Shafay
Taimur Hassan
Ernesto Damiani
N. Werghi
22
9
0
04 Nov 2021
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video
  Anomaly Detection Methods
A Critical Study on the Recent Deep Learning Based Semi-Supervised Video Anomaly Detection Methods
M. Baradaran
R. Bergevin
11
16
0
02 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
15
6
0
28 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
12
2
0
28 Sep 2021
Visual Anomaly Detection for Images: A Survey
Visual Anomaly Detection for Images: A Survey
Jie Yang
Rui Xu
Zhiquan Qi
Yong Shi
15
35
0
27 Sep 2021
New Perspective on Progressive GANs Distillation for One-class Novelty Detection
Zhiwei Zhang
Yu Dong
Hanyu Peng
Shifeng Chen
17
0
0
15 Sep 2021
On the impact of using X-ray energy response imagery for object
  detection via Convolutional Neural Networks
On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks
Neelanjan Bhowmik
Yona Falinie A. Gaus
T. Breckon
13
8
0
27 Aug 2021
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat
  Recognition
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
N. Werghi
23
42
0
22 Aug 2021
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
11
583
0
17 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
14
142
0
28 Jul 2021
Tail of Distribution GAN (TailGAN): Generative-Adversarial-Network-Based
  Boundary Formation
Tail of Distribution GAN (TailGAN): Generative-Adversarial-Network-Based Boundary Formation
Nikolaos Dionelis
Mehrdad Yaghoobi
Sotirios A. Tsaftaris
GAN
17
14
0
24 Jul 2021
Boundary of Distribution Support Generator (BDSG): Sample Generation on
  the Boundary
Boundary of Distribution Support Generator (BDSG): Sample Generation on the Boundary
Nikolaos Dionelis
Mehrdad Yaghoobi
Sotirios A. Tsaftaris
13
12
0
21 Jul 2021
Unsupervised Anomaly Instance Segmentation for Baggage Threat
  Recognition
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
N. Werghi
19
33
0
15 Jul 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
10
7
0
21 May 2021
Inpainting Transformer for Anomaly Detection
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay
K. Chai
ViT
102
165
0
28 Apr 2021
Image Synthesis as a Pretext for Unsupervised Histopathological
  Diagnosis
Image Synthesis as a Pretext for Unsupervised Histopathological Diagnosis
Dejan Štepec
D. Skočaj
MedIm
27
6
0
28 Apr 2021
Unsupervised Detection of Cancerous Regions in Histology Imagery using
  Image-to-Image Translation
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation
Dejan Štepec
D. Skočaj
MedIm
27
12
0
28 Apr 2021
PANDA : Perceptually Aware Neural Detection of Anomalies
PANDA : Perceptually Aware Neural Detection of Anomalies
Jack W. Barker
T. Breckon
17
5
0
28 Apr 2021
Unsupervised Two-Stage Anomaly Detection
Unsupervised Two-Stage Anomaly Detection
Yunfei Liu
Chaoqun Zhuang
Feng Lu
28
29
0
22 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
16
96
0
25 Jan 2021
GAN Ensemble for Anomaly Detection
GAN Ensemble for Anomaly Detection
Xu Han
Xiaohui Chen
Liping Liu
16
64
0
14 Dec 2020
Comparison of Anomaly Detectors: Context Matters
Comparison of Anomaly Detectors: Context Matters
V. Škvára
Jan Francå
Matěj Zorek
Tomás Pevný
Václav Smídl
19
9
0
11 Dec 2020
Entropy Maximization and Meta Classification for Out-Of-Distribution
  Detection in Semantic Segmentation
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation
Robin Shing Moon Chan
Matthias Rottmann
Hanno Gottschalk
OODD
25
149
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-Qin Zhang
Yanfeng Wang
Qi Tian
11
12
0
09 Dec 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
6
811
0
17 Nov 2020
Unsupervised Region-based Anomaly Detection in Brain MRI with
  Adversarial Image Inpainting
Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting
B. Nguyen
Adam Feldman
S. Bethapudi
A. Jennings
Chris G. Willcocks
11
29
0
05 Oct 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
13
85
0
29 Aug 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
4
4
0
03 Jul 2020
Cascaded Structure Tensor Framework for Robust Identification of Heavily
  Occluded Baggage Items from X-ray Scans
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
N. Werghi
11
19
0
14 Apr 2020
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders
Gowthami Somepalli
Y. Wu
Yogesh Balaji
B. Vinzamuri
S. Feizi
9
3
0
24 Mar 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic
  Attributes with Applications to Anomaly Detection
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection
William Paul
I-J. Wang
F. Alajaji
Philippe Burlina
DiffM
DRL
10
6
0
25 Feb 2020
Towards Automatic Threat Detection: A Survey of Advances of Deep
  Learning within X-ray Security Imaging
Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging
S. Akçay
T. Breckon
23
156
0
05 Jan 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
19
165
0
26 Dec 2019
Cascaded Structure Tensor Framework for Robust Identification of Heavily
  Occluded Baggage Items from Multi-Vendor X-ray Scans
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from Multi-Vendor X-ray Scans
Taimur Hassan
Salman H. Khan
S. Akçay
Bennamoun
N. Werghi
6
8
0
09 Dec 2019
Attribute Restoration Framework for Anomaly Detection
Attribute Restoration Framework for Anomaly Detection
Chaoqin Huang
Fei Ye
Jinkun Cao
Maosen Li
Ya-Qin Zhang
Cewu Lu
11
48
0
25 Nov 2019
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