Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - Couverture souple

 
9783030882099: Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Couverture souple
ISBN 10 : 3030882098 ISBN 13 : 9783030882099
Editeur : Springer, 2021

Synopsis

This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.
DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.
For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorousstudy of medical data related to machine learning systems.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer
Date d'édition
2021
Langue
anglais
ISBN 10 
3030882098
ISBN 13 
9783030882099
Reliure
Broché
Numéro d'édition
1
Nombre de pages
296
Éditeur
Engelhardt Sandy, Oksuz Ilkay, Zhu Dajiang, Yuan Yixuan, Mukhopadhyay Anirban, Heller Nicholas, Huang Sharon Xiaolei, Nguyen Hien, Sznitman Raphael
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