A deep learning-based approach for segmenting and counting reproductive organs from digitized herbarium specimen images using refined Mask Scoring R-CNN

Abdelaziz Triki, Bassem Bouaziz, Jitendra Gaikwad, Walid Mahdi. A deep learning-based approach for segmenting and counting reproductive organs from digitized herbarium specimen images using refined Mask Scoring R-CNN. In Ahmed Hadj Kacem, Slim Kallel, Faiza Belala, Meriem Belguidoum, Mohamed Jmaiel, Ismael Bouassida Rodriguez, editors, Proceedings of the Tunisian-Algerian Joint Conference on Applied Computing (TACC 2021), Tabarka, Tunisia, December 18-20, 2021. Volume 3067 of CEUR Workshop Proceedings, pages 138-148, CEUR-WS.org, 2021. [doi]

Authors

Abdelaziz Triki

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Bassem Bouaziz

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Jitendra Gaikwad

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Walid Mahdi

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