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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
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Papers citing
"Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption"
7 / 7 papers shown
Title
Focal Frequency Loss for Image Reconstruction and Synthesis
Liming Jiang
Bo Dai
Wayne Wu
Chen Change Loy
81
272
0
23 Dec 2020
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
Pramuditha Perera
Ramesh Nallapati
Bing Xiang
106
523
0
20 Mar 2019
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
Latent Space Autoregression for Novelty Detection
Davide Abati
Angelo Porrello
Simone Calderara
Rita Cucchiara
98
432
0
04 Jul 2018
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
32
560
0
17 Feb 2018
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
82
1,827
0
31 May 2016
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio
L. Yao
Guillaume Alain
Pascal Vincent
84
537
0
29 May 2013
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