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Robust Semi-Supervised Anomaly Detection via Adversarially Learned
  Continuous Noise Corruption

Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption

2 March 2023
Jack W. Barker
Neelanjan Bhowmik
Yona Falinie A. Gaus
T. Breckon
ArXivPDFHTML

Papers citing "Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption"

11 / 11 papers shown
Title
Focal Frequency Loss for Image Reconstruction and Synthesis
Focal Frequency Loss for Image Reconstruction and Synthesis
Liming Jiang
Bo Dai
Wayne Wu
Chen Change Loy
94
282
0
23 Dec 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
54
63
0
12 Mar 2020
Evaluation of a Dual Convolutional Neural Network Architecture for
  Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
Yona Falinie A. Gaus
Neelanjan Bhowmik
S. Akçay
Paolo M. Guillén-Garcia
Jack W. Barker
T. Breckon
26
54
0
10 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
110
526
0
20 Mar 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
93
379
0
25 Jan 2019
Latent Space Autoregression for Novelty Detection
Latent Space Autoregression for Novelty Detection
Davide Abati
Angelo Porrello
Simone Calderara
Rita Cucchiara
108
434
0
04 Jul 2018
Learning Representations of Ultrahigh-dimensional Data for Random
  Distance-based Outlier Detection
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection
Guansong Pang
LongBing Cao
Ling-Hao Chen
Huan Liu
74
208
0
13 Jun 2018
Efficient GAN-Based Anomaly Detection
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
45
563
0
17 Feb 2018
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
92
142
0
31 May 2016
Context Encoders: Feature Learning by Inpainting
Context Encoders: Feature Learning by Inpainting
Deepak Pathak
Philipp Krahenbuhl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
SSL
67
5,297
0
25 Apr 2016
Generalized Denoising Auto-Encoders as Generative Models
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio
L. Yao
Guillaume Alain
Pascal Vincent
103
540
0
29 May 2013
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