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Herbarium sheets are invaluable for botanical research, and considerable time and effort is spent by experts to label and identify specimens on them.
Herbaria are a major frontier for species discovery
Daniel P. Bebber, Mark A. Carine, John R. I. Wood, Alexandra H. Wortley, David J. Harris, Ghillean T. Prance, Gerrit Davidse, Jay Paige, Terry D. Pennington, Norman K. B. Robson, and Robert W. Scotland · 2010
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Automated plant identification using artificial neural networks
J. Y. Clark, D. P. A. Corney, and H. L. Tang · 2012
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Plant species identification using digital morphometrics: A review
James S. Cope, David Corney, Jonathan Y. Clark, Paolo Remagnino, and Paul Wilkin · 2012
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Automatic Detection System for the Identification of Plants Using Herbarium Specimen Images
D Wijesingha and Faiz Marikar · 2012
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Computer vision applied to herbarium specimens of german trees: Testing the future utility of the millions of herbarium specimen images for automated identification
Jakob Unger, Dorit Merhof, and Susanne Renner · 2016
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Aggregated residual transformations for deep neural networks
Saining Xie, Ross B. Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2016
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Jose Carranza-Rojas, Herve Goeau, Pierre Bonnet, Erick Mata-Montero, and Alexis Joly · 2017
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Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Applications of deep convolutional neural networks to digitized natural history collections
Eric Schuettpelz, Paul B. Frandsen, Rebecca B. Dikow, Abel Brown, Sylvia Orli, Melinda Peters, Adam Metallo, Vicki Funk, and Laurence J. Dorr · 2017
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Random erasing data augmentation
Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, and Yi Yang · 2017
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Plant Species Identification Using Computer Vision Techniques: A Systematic Literature Review
Jana Wäldchen and Patrick Mäder · 2018
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Taxon and trait recognition from digitized herbarium specimens using deep convolutional neural networks
Sohaib Younis, Claus Weiland, Robert Hoehndorf, Stefan Dressler, Thomas Hickler, Bernhard Seeger, and Marco Schmidt · 2018
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