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Combining unsupervised and supervised learning in microscopy enables defect analysis of a full 4H-SiC wafer

Combining unsupervised and supervised learning in microscopy enables defect analysis of a full 4H-SiC wafer

Binh Duong Nguyen
Johannes Steiner
Peter Wellmann
Stefan Sandfeld
ArXiv (abs)PDFHTML

Papers citing "Combining unsupervised and supervised learning in microscopy enables defect analysis of a full 4H-SiC wafer"

10 / 10 papers shown
Title
Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data"
Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data"
Kishan Govind
D. Oliveros
A. Dlouhý
M. Legros
Stefan Sandfeld
45
8
0
12 Jul 2023
Data-driven discovery of novel 2D materials by deep generative models
Data-driven discovery of novel 2D materials by deep generative models
Peder Lyngby
K. Thygesen
DiffM
60
69
0
24 Jun 2022
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
147
18,179
0
28 May 2019
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Jonathan Tremblay
Aayush Prakash
David Acuna
M. Brophy
Varun Jampani
Cem Anil
Thang To
Eric Cameracci
Shaad Boochoon
Stan Birchfield
OOD
78
818
0
18 Apr 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
195
9,473
0
09 Feb 2018
Accelerated Hierarchical Density Clustering
Accelerated Hierarchical Density Clustering
Leland McInnes
John Healy
53
403
0
20 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
360
27,244
0
20 Mar 2017
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
525
62,377
0
04 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,595
0
01 Sep 2014

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