Global-Margin Uncertainty and Collaborative Sampling for Active Learning in Complex Aerial Images Object Detection

Object detection in aerial images based on deep learning requires a large amount of labeled data, whereas manual annotation of aerial images is time-consuming and laborious. As a branch of machine learning, active learning can help humans find valuable samples by designing some corresponding query s...

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Veröffentlicht in:IEEE geoscience and remote sensing letters 2024, Vol.21, p.1-5
Hauptverfasser: Zhu, Dongjun, Gu, Chengjie, Zhang, Junjun, Yao, Yuyou, Tan, Dayu
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Sprache:eng
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