SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation

arXiv:2404.02638v1 Announce Type: new
Abstract: This paper aims at achieving fine-grained building attribute segmentation in a cross-view scenario, i.e., using satellite and street-view image pairs. The main challenge lies in overcoming the significant perspective differences between street views and satellite views. In this work, we introduce SG-BEV, a novel approach for satellite-guided BEV fusion for cross-view semantic segmentation. To overcome the limitations of existing cross-view projection methods in capturing the complete building facade features, we innovatively incorporate Bird's Eye View …

arxiv cs.cv fusion satellite segmentation semantic type view