Objects Detection from Digitized Herbarium Specimen based on Improved YOLO V3-Reference-Cited by-同舟云学术

Objects Detection from Digitized Herbarium Specimen based on Improved YOLO V3

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Author:

Triki Abdelaziz¹,Bouaziz Bassem¹,Mahdi Walid²,Gaikwad Jitendra³

Affiliation:

1. MIRACL/CRNS, University of Sfax, Sfax, Tunisia, --- Select a Country ---

2. MIRACL/CRNS, University of Sfax, Sfax, Tunisia, College of Computers and Information Technology, Taif University, Saudi Arabia, --- Select a Country ---

3. Friedrich Schiller University Jena, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

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