Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes With Point-Level Annotations
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DOI: 10.1109/tip.2022.3189825
Abstract: Deep learning algorithms have obtained great success in semantic segmentation of very high-resolution (VHR) remote sensing images. Nevertheless, training these models generally requires a large amount of accurate pixel-wise annotations, which is very laborious and… read more here.
Keywords: network; region growing; consistency regularized; region ... See more keywords