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[Reproducibility Report] Explainable Deep One-Class Classification
v1v2 (latest)

[Reproducibility Report] Explainable Deep One-Class Classification

6 June 2022
João P C Bertoldo
Etienne Decencière
ArXiv (abs)PDFHTML

Papers citing "[Reproducibility Report] Explainable Deep One-Class Classification"

14 / 14 papers shown
Title
FastFlow: Unsupervised Anomaly Detection and Localization via 2D
  Normalizing Flows
FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
Jiawei Yu1
Ye Zheng
Xiang Wang
Wei Li
Yushuang Wu
Rui Zhao
Liwei Wu
63
312
0
15 Nov 2021
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for
  Anomaly Detection and Localization
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization
Ye Zheng
Xiang Wang
Rui Deng
Tianpeng Bao
Rui Zhao
Liwei Wu
OOD
75
63
0
09 Oct 2021
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via
  Conditional Normalizing Flows
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows
Denis A. Gudovskiy
Shun Ishizaka
Kazuki Kozuka
112
404
0
27 Jul 2021
Towards Total Recall in Industrial Anomaly Detection
Towards Total Recall in Industrial Anomaly Detection
Karsten Roth
Latha Pemula
J. Zepeda
Bernhard Schölkopf
Thomas Brox
Peter V. Gehler
UQCV
88
919
0
15 Jun 2021
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly
  Segmentation
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
Jin-Hwa Kim
Do-Hyeong Kim
Saehoon Yi
Taehoon Lee
79
54
0
31 May 2021
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in
  Retinal Images
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images
Kang Zhou
Yuting Xiao
Jianlong Yang
Jun Cheng
Wen Liu
Weixin Luo
Zaiwang Gu
Jiang-Dong Liu
Shenghua Gao
MedIm
83
119
0
09 Aug 2020
Explainable Deep One-Class Classification
Explainable Deep One-Class Classification
Philipp Liznerski
Lukas Ruff
Robert A. Vandermeulen
Billy Joe Franks
Marius Kloft
Klaus-Robert Muller
66
199
0
03 Jul 2020
Rethinking Assumptions in Deep Anomaly Detection
Rethinking Assumptions in Deep Anomaly Detection
Lukas Ruff
Robert A. Vandermeulen
Billy Joe Franks
Klaus-Robert Muller
Marius Kloft
81
90
0
30 May 2020
Iterative energy-based projection on a normal data manifold for anomaly
  localization
Iterative energy-based projection on a normal data manifold for anomaly localization
David Dehaene
Oriel Frigo
Sébastien Combrexelle
P. Eline
48
145
0
10 Feb 2020
Towards Visually Explaining Variational Autoencoders
Towards Visually Explaining Variational Autoencoders
Wenqian Liu
Runze Li
Meng Zheng
Srikrishna Karanam
Ziyan Wu
B. Bhanu
Richard J. Radke
Mario Sznaier
105
219
0
18 Nov 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
183
1,487
0
11 Dec 2018
Deep learning for time series classification: a review
Deep learning for time series classification: a review
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
AI4TSAI4CE
335
2,702
0
12 Sep 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
285
8,920
0
25 Aug 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural
  Networks
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
HAI
102
1,799
0
15 Jan 2017
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