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Prototypical Residual Networks for Anomaly Detection and Localization
v1v2 (latest)

Prototypical Residual Networks for Anomaly Detection and Localization

5 December 2022
H. Zhang
Zuxuan Wu
Ziyi Wang
Zhineng Chen
Yuwei Jiang
    UQCVAI4TS
ArXiv (abs)PDFHTML

Papers citing "Prototypical Residual Networks for Anomaly Detection and Localization"

12 / 62 papers shown
Title
Improving Unsupervised Defect Segmentation by Applying Structural
  Similarity to Autoencoders
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
Paul Bergmann
Sindy Löwe
Michael Fauser
David Sattlegger
C. Steger
81
668
0
05 Jul 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
S. Akçay
Amir Atapour-Abarghouei
T. Breckon
GAN
85
1,396
0
17 May 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline
Future Frame Prediction for Anomaly Detection -- A New Baseline
Wen Liu
Weixin Luo
Dongze Lian
Shenghua Gao
3DH
173
1,079
0
28 Dec 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
786
132,363
0
12 Jun 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to
  Guide Marker Discovery
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
T. Schlegl
Philipp Seeböck
S. Waldstein
U. Schmidt-Erfurth
Georg Langs
MedImGAN
111
2,233
0
17 Mar 2017
Identifying and Categorizing Anomalies in Retinal Imaging Data
Identifying and Categorizing Anomalies in Retinal Imaging Data
Philipp Seeböck
S. Waldstein
S. Klimscha
Bianca S. Gerendas
R. Donner
T. Schlegl
U. Schmidt-Erfurth
Georg Langs
MedIm
72
53
0
02 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
309
25,081
0
30 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Toward Supervised Anomaly Detection
Toward Supervised Anomaly Detection
Nico Görnitz
Marius Kloft
Konrad Rieck
Ulf Brefeld
AAML
73
387
0
23 Jan 2014
Describing Textures in the Wild
Describing Textures in the Wild
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
S. Mohamed
Andrea Vedaldi
3DV
146
2,689
0
14 Nov 2013
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