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Fine-grained Recognition Datasets for Biodiversity Analysis
July 03, 2015 Β· Declared Dead Β· π arXiv.org
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Authors
Erik Rodner, Marcel Simon, Gunnar Brehm, Stephanie Pietsch, J. Wolfgang WΓ€gele, Joachim Denzler
arXiv ID
1507.00913
Category
cs.CV: Computer Vision
Citations
46
Venue
arXiv.org
Last Checked
6 months ago
Abstract
In the following paper, we present and discuss challenging applications for fine-grained visual classification (FGVC): biodiversity and species analysis. We not only give details about two challenging new datasets suitable for computer vision research with up to 675 highly similar classes, but also present first results with localized features using convolutional neural networks (CNN). We conclude with a list of challenging new research directions in the area of visual classification for biodiversity research.
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