AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning

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 Kingma and Max Welling · 2014

Earlier work this paper cites.

Anomaly detection using autoencoders with nonlinear dimensionality reduction

Mayu Sakurada and Takehisa Yairi · 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.

Deep residual learning for image recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016

Earlier work this paper cites.

Semi-supervised learning with generative adversarial networks

Original

Augustus Odena · 2016

Earlier work this paper cites.

Improved techniques for training gans

Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen, and Xi Chen · 2016

Earlier work this paper cites.

Outlier detection with autoencoder ensembles

Jinghui Chen, Saket Sathe, Charu Aggarwal, and Deepak Turaga · 2017

Earlier work this paper cites.

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

Earlier work this paper cites.

Grad-cam: Visual explanations from deep networks via gradient-based localization

Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017

Cited alongside, same era.

Ganomaly: Semi-supervised anomaly detection via adversarial training, 2018

Samet Akcay, Amir Atapour-Abarghouei, and Toby P. Breckon · 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.

Image anomaly detection with generative adversarial networks

Lucas Deecke, Robert Vandermeulen, Lukas Ruff, Stephan Mandt, and Marius Kloft · 2018

Cited alongside, same era.

An intriguing failing of convolutional neural networks and the coordconv solution

Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, and Jason Yosinski · 2018

Cited alongside, same era.

Sub-image anomaly detection with deep pyramid correspondences

Original

Niv Cohen and Yedid Hoshen · 2020

Later among the works it cites.

Adversarial discriminative attention for robust anomaly detection

Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, and Ryuki Tachibana · 2020

Later among the works it cites.

Superpixel masking and inpainting for self-supervised anomaly detection

Zhenyu Li, Ning Li, Kaitao Jiang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, and Yihong Gong · 2020

Later among the works it cites.

Csi: Novelty detection via contrastive learning on distributionally shifted instances

Jihoon Tack, Sangwoo Mo, Jongheon Jeong, and Jinwoo Shin · 2020

Later among the works it cites.

Attention guided anomaly localization in images

Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, and Abhijit Mahalanobis · 2020

Later among the works it cites.