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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| 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 |