BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning. (arXiv:2304.07076v1 [cs.CV])

Automatic and periodic recompiling of building databases with up-to-date
high-resolution images has become a critical requirement for rapidly developing
urban environments. However, the architecture of most existing approaches for
change extraction attempts to learn features related to changes but ignores
objectives related to buildings. This inevitably leads to the generation of
significant pseudo-changes, due to factors such as seasonal changes in images
and the inclination of building fa\c{c}ades. To alleviate the above-mentioned
problems, we developed a contrastive learning approach by …

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