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1
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3201437
Abstract: Image segmentation is a challenging and essential task in remote sensing. Deep neural networks (DNNs) have successfully segmented images from different domains, but the models usually require time-consuming and expensive pixel-level data annotation. In this…
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Keywords:
neural networks;
guided data;
deep neural;
data expansion ... See more keywords
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3
Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3150295
Abstract: Image matting is widely studied for accurate foreground extraction. Most algorithms, including deep-learning based solutions, require a carefully edited trimap. Recent works attempt to combine the segmentation stage and matting stage in one CNN model,…
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Keywords:
guided deep;
user guided;
image matting;
model ... See more keywords