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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Bibliographic Details

Published in:	Frontiers in Neurorobotics
Main Authors:	Shuyan Ni, Cunbao Lin, Haining Wang, Yang Li, Yurong Liao, Na Li
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-11-01
Subjects:	tiny object detection remote sensing images Jensen-Shannon divergence deep learning Gaussian distribution
Online Access:	https://www.frontiersin.org/articles/10.3389/fnbot.2023.1273251/full