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Benchmarking Unsupervised Anomaly Detection and Localization

Benchmarking Unsupervised Anomaly Detection and Localization

30 May 2022
Ye Zheng
Xiang Wang
Yu-Hang Qi
Wei Li
Liwei Wu
ArXiv (abs)PDFHTML

Papers citing "Benchmarking Unsupervised Anomaly Detection and Localization"

17 / 17 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
65
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
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation
Jie Yang
Yong Shi
Zhiquan Qi
UQCV
138
120
0
13 Dec 2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and
  Localization
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
Thomas Defard
Aleksandr Setkov
Angélique Loesch
Romaric Audigier
UQCV
79
847
0
17 Nov 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and
  Segmentation
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
Tal Reiss
Niv Cohen
Liron Bergman
Yedid Hoshen
69
252
0
12 Oct 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
Jihun Yi
Sungroh Yoon
153
385
0
29 Jun 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features
  for Anomaly Detection
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
Oliver Rippel
Patrick Mertens
Dorit Merhof
133
240
0
28 May 2020
Classification-Based Anomaly Detection for General Data
Classification-Based Anomaly Detection for General Data
Liron Bergman
Yedid Hoshen
54
351
0
05 May 2020
Uninformed Students: Student-Teacher Anomaly Detection with
  Discriminative Latent Embeddings
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings
Paul Bergmann
Michael Fauser
David Sattlegger
C. Steger
84
665
0
06 Nov 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder
  Anomaly Detection
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
UQCV
100
381
0
25 Jan 2019
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDLDRL
303
3,141
0
09 Jul 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi
Ranya Almohsen
Donald Adjeroh
Gianfranco Doretto
UQCV
51
323
0
06 Jul 2018
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
97
606
0
28 May 2018
Efficient GAN-Based Anomaly Detection
Efficient GAN-Based Anomaly Detection
Houssam Zenati
Chuan-Sheng Foo
Bruno Lecouat
Gaurav Manek
V. Chandrasekhar
45
563
0
17 Feb 2018
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRLBDL
131
2,268
0
30 Oct 2014
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