Seagrass classification using unsupervised curriculum learning (UCL)

Seagrass classification using unsupervised curriculum learning (UCL)

Seagrass ecosystems are pivotal in marine environments, serving as crucial habitats for diverse marine species and contributing significantly to carbon sequestration. Accurate classification of seagrass species from underwater images is imperative for monitoring and preserving these ecosystems. This...

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Bibliographic Details
Main Authors: Nosheen Abid, Md Kislu Noman, György Kovács, Syed Mohammed Shamsul Islam, Tosin Adewumi, Paul Lavery, Faisal Shafait, Marcus Liwicki
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Ecological Informatics
Subjects:
Seagrass
Deep learning
Unsupervised classification
Curriculum learning
Unsupervised curriculum learning
Underwater digital imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S1574954124003467

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http://www.sciencedirect.com/science/article/pii/S1574954124003467

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