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

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

3 Apr 2024CVPR 2024 1arXiv:2404.02638archive 2025-07-28

Junyan Ye, Qiyan Luo, Jinhua Yu, Huaping Zhong, Zhimeng Zheng, Conghui He, Weijia Li

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 (BEV) method to establish a spatially explicit mapping of street-view features. Moreover, we fully leverage the advantages of multiple perspectives by introducing a novel satellite-guided reprojection module, optimizing the uneven feature distribution issues associated with traditional BEV methods. Our method demonstrates significant improvements on four cross-view datasets collected from multiple cities, including New York, San Francisco, and Boston. On average across these datasets, our method achieves an increase in mIOU by 10.13% and 5.21% compared with the state-of-the-art satellite-based and cross-view methods. The code and datasets of this work will be released at https://github.com/yejy53/SG-BEV.

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calculate_distance yejy53/SG-BEV/models/utils/st_bev_old.py official repository ran fingerprinted no licence file found · pointer only · 1071eb4b2d043ca4 · report
cosine_annealing_weight yejy53/SG-BEV/dist_train_tensorboard.py official repository ran fingerprinted no licence file found · pointer only · faf11a6d4dc374c1 · report
get_cam_reference_coordinate yejy53/SG-BEV/models/utils/sg_bev.py official repository ran fingerprinted no licence file found · pointer only · 9d0dea684dd4305a · report
get_reference_points yejy53/SG-BEV/models/utils/sg_bev.py official repository ran no licence file found · pointer only · d69b6de1ed1b2bc0 · report
gps2distance yejy53/SG-BEV/models/utils/st_bev_old.py official repository ran no licence file found · pointer only · 99d8de14b0e04931 · report
load_model_class yejy53/SG-BEV/dist_train_tensorboard.py official repository ran no licence file found · pointer only · 8796486d9f4d80c7 · report
point_sampling_pano_old yejy53/SG-BEV/models/utils/sg_bev.py official repository ran no licence file found · pointer only · 561a9c843f007514 · report
sat2grd_uv yejy53/SG-BEV/models/utils/gp_bev.py official repository ran no licence file found · pointer only · 17e0e2d3747a1932 · report
get_BEV_projection yejy53/SG-BEV/models/utils/st_bev_old.py official repository unverified no licence file found · pointer only · e6f67f23a8497ba5 · report
get_BEV_projection_module yejy53/SG-BEV/models/utils/st_bev.py official repository unverified no licence file found · pointer only · 40c6df9be6f5a505 · report

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