Adversarial Reconstruction Loss for Domain Generalization

Adversarial Reconstruction Loss for Domain Generalization

The biggest fear when deploying machine learning models to the real world is their ability to handle the new data. This problem is significant especially in medicine, where models trained on rich high-quality data extracted from large hospitals do not scale to small regional hospitals. One of the cl...

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Bibliographic Details
Main Authors: Imad Eddine Ibrahim Bekkouch, Dragos Constantin Nicolae, Adil Khan, S. M. Ahsan Kazmi, Asad Masood Khattak, Bulat Ibragimov
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Computer vision
deep learning
domain adaptation
domain generalization
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9378518/

Internet

https://ieeexplore.ieee.org/document/9378518/

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