Fetching the paper…
Reading the bibliography…
Autoencoder reconstructions are widely used for the task of unsupervised anomaly localization.
Identification of outliers
Douglas M Hawkins · 1980
Earlier work this paper cites.
Image inpainting
Marcelo Bertalmio, Guillermo Sapiro, Vincent Caselles, and Coloma Ballester · 2000
Earlier work this paper cites.
Image quality assessment: From error visibility to structural similarity
Zhou Wang, Alan Bovik, Hamid Sheikh, and Eero Simoncelli · 2003
Earlier work this paper cites.
Region filling and object removal by exemplar-based image inpainting
Antonio Criminisi, Patrick Pérez, and Kentaro Toyama · 2004
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
Earlier work this paper cites.
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, and Rob Fergus · 2014
Earlier work this paper cites.
Variational autoencoder based anomaly detection using reconstruction probability
Jinwon An and Sungzoon Cho · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
Cited alongside, same era.
Elbo surgery: yet another way to carve up the variational evidence lower bound
Matthew D. Hoffman and Matthew J. Johnson · 2016
Cited alongside, same era.
Context encoders: Feature learning by inpainting
Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, and Alexei Efros · 2016
Cited alongside, same era.
NIPS 2016 tutorial: Generative adversarial networks
Ian J. Goodfellow · 2017
Cited alongside, same era.
Unsupervised anomaly detection with generative adversarial networks to guide marker discovery
Thomas Schlegl, Philipp Seeböck, Sebastian M Waldstein, Ursula Schmidt-Erfurth, and Georg Langs · 2017
Cited alongside, same era.
Deep structured energy-based image inpainting
A case for the score: Identifying image anomalies using variational autoencoder gradients
David Zimmerer, Jens Petersen, Simon A. A. Kohl, and Klaus H. Maier-Hein · 2018
Later among the works it cites.
Mvtec ad — a comprehensive real-world dataset for unsupervised anomaly detection
Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger · 2019
Later among the works it cites.
Diagnosing and enhancing VAE models
Bin Dai and David P. Wipf · 2019
Later among the works it cites.
Variational autoencoder with arbitrary conditioning
Oleg Ivanov, Michael Figurnov, and Dmitry Vetrov · 2019
Later among the works it cites.
Classification accuracy score for conditional generative models
Suman V. Ravuri and Oriol Vinyals · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Fazil Altinel, Mete Ozay, and Takayuki Okatani · 2018
Cited alongside, same era.
Deep autoencoding models for unsupervised anomaly segmentation in brain MR images
Christoph Baur, Benedikt Wiestler, Shadi Albarqouni, and Nassir Navab · 2018
Cited alongside, same era.
Improving unsupervised defect segmentation by applying structural similarity to autoencoders
Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, and Carsten Steger · 2018
Cited alongside, same era.
Anomaly machine component detection by deep generative model with unregularized score
Takashi Matsubara, Ryosuke Tachibana, and Kuniaki Uehara · 2018
Cited alongside, same era.
f-anogan: Fast unsupervised anomaly detection with generative adversarial networks
Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Georg Langs, and Ursula Schmidt-Erfurth · 2019
Later among the works it cites.
Improving generalization and stability of generative adversarial networks
Hoang Thanh-Tung, Truyen Tran, and Svetha Venkatesh · 2019
Later among the works it cites.
Unsupervised anomaly localization using variational auto-encoders
David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl A. A., and Klaus H. Maier-Hein · 2019
Later among the works it cites.