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]
@inproceedings{TrikiBGM21-1, title = {A deep learning-based approach for segmenting and counting reproductive organs from digitized herbarium specimen images using refined Mask Scoring R-CNN}, author = {Abdelaziz Triki and Bassem Bouaziz and Jitendra Gaikwad and Walid Mahdi}, year = {2021}, url = {http://ceur-ws.org/Vol-3067/paper13.pdf}, researchr = {https://researchr.org/publication/TrikiBGM21-1}, cites = {0}, citedby = {0}, pages = {138-148}, booktitle = {Proceedings of the Tunisian-Algerian Joint Conference on Applied Computing (TACC 2021), Tabarka, Tunisia, December 18-20, 2021}, editor = {Ahmed Hadj Kacem and Slim Kallel and Faiza Belala and Meriem Belguidoum and Mohamed Jmaiel and Ismael Bouassida Rodriguez}, volume = {3067}, series = {CEUR Workshop Proceedings}, publisher = {CEUR-WS.org}, }