Efficient few-shot machine learning for classification of EBSD patterns

Abstract Deep learning is quickly becoming a standard approach to solving a range of materials science objectives, particularly in the field of computer vision. However, labeled datasets large enough to train neural networks from scratch can be challenging to collect. One approach to accelerating th...

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Auteurs principaux: Kevin Kaufmann, Hobson Lane, Xiao Liu, Kenneth S. Vecchio
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/b1148711719344a495d8dd02d6386f09
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