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Same Same But DifferNet: Semi-Supervised Defect Detection with
  Normalizing Flows

Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows

28 August 2020
Marco Rudolph
Bastian Wandt
Bodo Rosenhahn
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows"

13 / 63 papers shown
Title
Anomaly Detection of Defect using Energy of Point Pattern Features
  within Random Finite Set Framework
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework
Ammar Mansoor Kamoona
A. Gostar
A. Bab-Hadiashar
R. Hoseinnezhad
39
17
0
27 Aug 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning
  Representations
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations
Oliver Rippel
Arnav Chavan
Chucai Lei
Dorit Merhof
104
19
0
09 Aug 2021
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
Tom Wehrbein
Marco Rudolph
Bodo Rosenhahn
Bastian Wandt
3DH
123
119
0
29 Jul 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
120
411
0
27 Jul 2021
Anomaly Detection via Self-organizing Map
Anomaly Detection via Self-organizing Map
Ning Li
Kaitao Jiang
Zhiheng Ma
Xing Wei
Xiaopeng Hong
Yihong Gong
85
34
0
21 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
129
933
0
15 Jun 2021
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing
  Flows
DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows
Samuel von Baussnern
Johannes Otterbach
Adrian Loy
Mathieu Salzmann
Thomas Wollmann
29
1
0
30 May 2021
A Hierarchical Transformation-Discriminating Generative Model for Few
  Shot Anomaly Detection
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection
Shelly Sheynin
Sagie Benaim
Lior Wolf
73
81
0
29 Apr 2021
Inpainting Transformer for Anomaly Detection
Inpainting Transformer for Anomaly Detection
Jonathan Pirnay
K. Chai
ViT
207
169
0
28 Apr 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and
  Localization
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Chun-Liang Li
Kihyuk Sohn
Jinsung Yoon
Tomas Pfister
SSLUQCV
99
790
0
08 Apr 2021
AdeNet: Deep learning architecture that identifies damaged electrical
  insulators in power lines
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power lines
Ademola Okerinde
L. Shamir
W. Hsu
T. Theis
42
3
0
02 Mar 2021
Computer Vision and Normalizing Flow-Based Defect Detection
Computer Vision and Normalizing Flow-Based Defect Detection
Zijian Kuang
Xinran Tie
Lihang Ying
Shi Jin
UQCV
23
2
0
12 Dec 2020
Perfect density models cannot guarantee anomaly detection
Perfect density models cannot guarantee anomaly detection
Charline Le Lan
Laurent Dinh
98
50
0
07 Dec 2020
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