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Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network

Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2499696634

Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network

About this item

Full title

Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-10

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

In this paper, we propose a novel data augmentation strategy named Cut-Thumbnail, that aims to improve the shape bias of the network. We reduce an image to a certain size and replace the random region of the original image with the reduced image. The generated image not only retains most of the original image information but also has global informa...

Alternative Titles

Full title

Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2499696634

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2499696634

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2103.05342

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