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ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network

ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2069685496

ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network

About this item

Full title

ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2017-09

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

In recent years, there has been an increasing interest in image-based plant phenotyping, applying state-of-the-art machine learning approaches to tackle challenging problems, such as leaf segmentation (a multi-instance problem) and counting. Most of these algorithms need labelled data to learn a model for the task at hand. Despite the recent releas...

Alternative Titles

Full title

ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2069685496

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2069685496

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/184259