Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images

Semantic segmentation requires pixel-level annotation, which is time-consuming. Active Learning (AL) is a promising method for reducing data annotation costs. Due to the gap between aerial and natural images, the previous AL methods are not ideal, mainly caused by unreasonable labeling units and the...

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Hauptverfasser:	Shan, Lianlei, Wang, Weiqiang, Lv, Ke, Luo, Bin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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