Automating Lichen Monitoring in Ecological Studies Using Instance Segmentation of Time-Lapse Images-Reference-Cited by-同舟云学术

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

Published:2023-12-15 Issue: Volume: Page:98-103
ISSN:
Container-title:2023 International Conference on Machine Learning and Applications (ICMLA)
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Author:

Naimi Safwen¹,Koubaa Olfa¹,Bouachir Wassim¹,Bilodeau Guillaume-Alexandre²,Jeddore Gregory³,Baines Patricia⁴,Correia David L. P.⁴,Arsenault André⁴

Affiliation:

1. University of Quebec (TÉLUQ),Data Science Laboratory,Montréal,QC,Canada

2. Polytechnique Montréal,LITIV lab.,Montréal,QC,Canada

3. Miawpukek First Nation, Natural Resources Canada (NRCan),Conne River,NL,Canada

4. Canadian Forest Service, Natural Resources Canada (NRCan),Corner Brook,NL,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459990.pdf?arnumber=10459990

Reference20 articles.

1. Long-term primary succession: a comparison of non-spatial and spatially explicit inferential techniques

2. Contribution of cryptogamic covers to the global cycles of carbon and nitrogen

3. A survey method for assessing the richness of epiphytic lichens using growth forms

4. Estimating epiphytic lichen richness by single families in Mediterranean forests

5. Species delimitation and phylogeography of the Pectenia species-complex: A misunderstood case of species-pairs in lichenized fungi, where reproduction mode does not delimit lineages

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