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 |
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