Learning geometric Jensen-Shannon divergence for tiny object detection in remote sensing images

Tiny objects in remote sensing images only have a few pixels, and the detection difficulty is much higher than that of regular objects. General object detectors lack effective extraction of tiny object features, and are sensitive to the Intersection-over-Union (IoU) calculation and the threshold set...

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Detalles Bibliográficos
Autores principales: Ni, Shuyan, Lin, Cunbao, Wang, Haining, Li, Yang, Liao, Yurong, Li, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665846/
https://www.ncbi.nlm.nih.gov/pubmed/38023452
http://dx.doi.org/10.3389/fnbot.2023.1273251

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665846/
https://www.ncbi.nlm.nih.gov/pubmed/38023452
http://dx.doi.org/10.3389/fnbot.2023.1273251

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