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Re-identification of giant sunfish using keypoint matching
Pedersen, M.; Haurum, J.B.; Moeslund, T.B.; Nyegaard, M. (2022). Re-identification of giant sunfish using keypoint matching. Proceedings of the Northern Lights Deep Learning Workshop 3: 1-9. https://dx.doi.org/10.7557/18.6234
In: Proceedings of the Northern Lights Deep Learning Workshop. Septentrio Academic Publishing. e-ISSN 2703-6928, more
Peer reviewed article  

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Keyword
    Marine/Coastal
Author keywords
    deep learning, machine learning, computer vision, image processing, marine vision, re-identification, sunfish, keypoint matching

Authors  Top 
  • Pedersen, M.
  • Haurum, J.B.
  • Moeslund, T.B.
  • Nyegaard, M.

Abstract
    We present the first work where re-identification ofthe Giant Sunfish (Mola alexandrini) is automated using computer vision and deep learning. We propose a pipeline that scores an mAP of 60.34% on a full rank of the novel TinyMola dataset which includes 31 IDs and 91 images. The method requires no domain-adaptation or training which makes it especially suited for low-budget or volunteer-based projects, like Match My Mola, as part of a human-in-the-loop model.

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