Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection -- Short Paper

Type: Preprint

Publication Date: 2019-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.1907.12258

Locations

  • arXiv (Cornell University) - View
  • DataCite API - View

Similar Works

Action Title Year Authors
+ Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection -- Extended Abstract 2019 Davbid Zimmerer
Simon Kohl
Jens Petersen
Fabian Isensee
Klaus H. Maier‐Hein
+ Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection 2018 David Zimmerer
Simon Kohl
Jens Petersen
Fabian Isensee
Klaus H. Maier‐Hein
+ PDF Chat StRegA: Unsupervised Anomaly Detection in Brain MRIs using Compact Context-encoding Variational Autoencoder 2023 Soumick Chatterjee
Alessandro Sciarra
Max DĂŒnnwald
Pavan Tummala
Shubham Agrawal
Aishwarya Jauhari
Aman Kalra
Steffen Oeltze‐Jafra
Oliver Speck
Andreas NĂŒrnberger
+ Unsupervised Anomaly Localization using Variational Auto-Encoders 2019 David Zimmerer
Fabian Isensee
Jens Petersen
Simon Kohl
Klaus H. Maier‐Hein
+ Unsupervised Anomaly Localization using Variational Auto-Encoders 2019 David Zimmerer
Fabian Isensee
Jens Petersen
Simon Kohl
Klaus H. Maier‐Hein
+ PDF Chat StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder 2022 Soumick Chatterjee
Alessandro Sciarra
Max DĂŒnnwald
Pavan Tummala
Shubham Agrawal
Aishwarya Jauhari
Aman Kalra
Steffen Oeltze‐Jafra
Oliver Speck
Andreas NĂŒrnberger
+ A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients 2019 David Zimmerer
Jens Petersen
Simon Kohl
Klaus H. Maier‐Hein
+ CVAD: A generic medical anomaly detector based on Cascade VAE 2021 Xiaoyuan Guo
Judy Wawira Gichoya
Saptarshi Purkayastha
Imon Banerjee
+ Deep Variational Semi-Supervised Novelty Detection. 2019 Tal Daniel
Thanard Kurutach
Aviv Tamar
+ Deep Variational Semi-Supervised Novelty Detection 2019 Daniel Tal
Thanard Kurutach
Aviv Tamar
+ Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers 2023 Mingqing Wang
Jiawei Li
Zhenyang Li
Chengxiao Luo
Bin Chen
Shu‐Tao Xia
Zhi Wang
+ Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers 2023 Mingqing Wang
Jiawei Li
Zhenyang Li
Chengxiao Luo
Bin Chen
Shu‐Tao Xia
Zhi Wang
+ High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection 2019 David Zimmerer
Jens Petersen
Klaus H. Maier‐Hein
+ PDF Chat Variational Autoencoder for Anomaly Detection: A Comparative Study 2024 Huy Hoang Nguyen
Cuong Nhat Nguyen
Xuan Tung Dao
Quoc Trung Duong
Dzung Pham Thi Kim
Minh‐Tan Pham
+ Robust Variational Autoencoder 2019 Haleh Akrami
Anand A. Joshi
Jian Li
SergĂŒl Aydöre
Richard M. Leahy
+ Anomaly localization by modeling perceptual features 2020 David Dehaene
Pierre Eline
+ Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores 2023 Fiete LĂŒer
Tobias Weber
Maxim Dolgich
Christian Böhm
+ P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening 2021 Yurong Chen
+ Contrastive Predictive Coding for Anomaly Detection 2021 Puck de Haan
Sindy Löwe
+ Unsupervised Contextual Anomaly Detection using Joint Deep Variational Generative Models 2019 Yaniv Shulman

Works That Cite This (0)

Action Title Year Authors