Deep Texture Feature Aggregation on Leaf Microscopy Images for Brazilian Plant Species Recognition-Reference-Cited by-同舟云学术

Deep Texture Feature Aggregation on Leaf Microscopy Images for Brazilian Plant Species Recognition

Published:2024-05-24 Issue: Volume:10 Page:209-213
ISSN:
Container-title:2024 9th International Conference on Machine Learning Technologies (ICMLT)
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Author:

Scabini Leonardo¹^ORCID,Zielinski Kallil¹^ORCID,Fares Ricardo²^ORCID,Konuk Emir³^ORCID,Miranda Gisele³^ORCID,Kolb Rosana⁴^ORCID,Ribas Lucas²^ORCID,Bruno Odemir¹^ORCID

Affiliation:

1. São Carlos Institute of Physics, University of São Paulo, Brazil

2. Institute of Biosciences, Humanities and Exact Sciences, São Paulo State University, Brazil

3. Division of Computational Science and Technology, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden and Science for Life Laboratory, Sweden

4. Faculty of Sciences and Letters, São Paulo State University, Brazil

Funder

Coordination for the Improvement of Higher Education Personnel (CAPES)

São Paulo Research Foundation (FAPESP)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3674029.3674063

Reference26 articles.

1. Plant identification based on leaf midrib cross-section images using fractal descriptors;da Silva Núbia Rosa;PloS One,2015

2. Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. Imagenet: A large-scale hierarchical image database. In Proceedings [...]. conference on computer vision and pattern recognition. 2009, IEEE, Miami, 248–255.

3. Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly 2020. An image is worth 16x16 words. https://arxiv.org/abs/2010.11929

4. Kevin J Gaston and Mark A O’Neill. 2004. Automated species identification: why not?Philosophical Transactions of the Royal Society of London B 359, 1444 (2004), 655–667.