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Automating Lichen Monitoring in Ecological Studies Using Instance Segmentation of Time-Lapse Images

Safwen Naimi, Olfa Koubaa, Wassim Bouachir, Guillaume-Alexandre Bilodeau, Gregory Jeddore, Patricia Baines, David L. P. Correia and André Arsenault

Paper (2023)

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Department: Department of Computer Engineering and Software Engineering
Research Center: LITIV - Images and video processing laboratory
ISBN: 9798350345346
PolyPublie URL: https://publications.polymtl.ca/58034/
Conference Title: International Conference on Machine Learning and Applications (ICMLA 2023)
Conference Location: Jacksonville, FL, USA
Conference Date(s): 2023-12-15 - 2023-12-17
Publisher: IEEE
DOI: 10.1109/icmla58977.2023.00022
Official URL: https://doi.org/10.1109/icmla58977.2023.00022
Date Deposited: 30 Apr 2024 12:41
Last Modified: 08 Apr 2025 14:40
Cite in APA 7: Naimi, S., Koubaa, O., Bouachir, W., Bilodeau, G.-A., Jeddore, G., Baines, P., Correia, D. L. P., & Arsenault, A. (2023, December). Automating Lichen Monitoring in Ecological Studies Using Instance Segmentation of Time-Lapse Images [Paper]. International Conference on Machine Learning and Applications (ICMLA 2023), Jacksonville, FL, USA. https://doi.org/10.1109/icmla58977.2023.00022

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