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Anomaly Detection in Images

Anomaly Detection in Images

9 May 2019
Manpreet Singh Minhas
John S. Zelek
ArXivPDFHTML

Papers citing "Anomaly Detection in Images"

10 / 10 papers shown
Title
A Survey on Deep Transfer Learning
A Survey on Deep Transfer Learning
Chuanqi Tan
F. Sun
Tao Kong
Wenchang Zhang
Chao Yang
Chunfang Liu
57
2,575
0
06 Aug 2018
Anomaly Detection for Skin Disease Images Using Variational Autoencoder
Anomaly Detection for Skin Disease Images Using Variational Autoencoder
Yuchen Lu
Peng Xu
DRL
37
73
0
03 Jul 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
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly
  Detection
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection
Björn Barz
E. Rodner
Y. Garcia
Joachim Denzler
36
89
0
19 Apr 2018
Efficient GAN-Based Anomaly Detection
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
32
560
0
17 Feb 2018
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
63
2,219
0
17 Mar 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
631
36,599
0
25 Aug 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
299
14,196
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Toward Supervised Anomaly Detection
Toward Supervised Anomaly Detection
Nico Görnitz
Marius Kloft
Konrad Rieck
Ulf Brefeld
AAML
38
387
0
23 Jan 2014
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