{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/sg-bev-satellite-guided-bev-fusion-for-cross","title":"SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation","arxiv_id":"2404.02638","date":"2024-04-03","proceeding":"CVPR 2024 1","authors":["Junyan Ye","Qiyan Luo","Jinhua Yu","Huaping Zhong","Zhimeng Zheng","Conghui He","Weijia Li"],"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 (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.","url_abs":"https://arxiv.org/abs/2404.02638v1","url_pdf":"https://arxiv.org/pdf/2404.02638v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"sg-bev-satellite-guided-bev-fusion-for-cross","repo_url":"https://github.com/yejy53/sg-bev","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"attribute","task_name":"Attribute"},{"task_slug":"semantic-segmentation","task_name":"Semantic Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2404.02638","atlas_url":"https://app.syntology.ai/?focus=2404.02638","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.02638"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"deterministic:regex_extraction","url":"https://github.com/yejy53/SG-BEV","reach":{"status":"ok"}}],"summary":{"ran":8,"unverified":2},"by_repo_kind":{"official":{"samples":10,"ran":8,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":10,"samples":[{"code_sha256_prefix":"1071eb4b2d043ca4","entry":"calculate_distance","repo":"yejy53/SG-BEV","repo_kind":"official","path":"models/utils/st_bev_old.py","file_url":"https://github.com/yejy53/SG-BEV/blob/HEAD/models/utils/st_bev_old.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"1071eb4b2d043ca4"}},{"code_sha256_prefix":"faf11a6d4dc374c1","entry":"cosine_annealing_weight","repo":"yejy53/SG-BEV","repo_kind":"official","path":"dist_train_tensorboard.py","file_url":"https://github.com/yejy53/SG-BEV/blob/HEAD/dist_train_tensorboard.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"faf11a6d4dc374c1"}},{"code_sha256_prefix":"9d0dea684dd4305a","entry":"get_cam_reference_coordinate","repo":"yejy53/SG-BEV","repo_kind":"official","path":"models/utils/sg_bev.py","file_url":"https://github.com/yejy53/SG-BEV/blob/HEAD/models/utils/sg_bev.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"9d0dea684dd4305a"}},{"code_sha256_prefix":"d69b6de1ed1b2bc0","entry":"get_reference_points","repo":"yejy53/SG-BEV","repo_kind":"official","path":"models/utils/sg_bev.py","file_url":"https://github.com/yejy53/SG-BEV/blob/HEAD/models/utils/sg_bev.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"d69b6de1ed1b2bc0"}},{"code_sha256_prefix":"99d8de14b0e04931","entry":"gps2distance","repo":"yejy53/SG-BEV","repo_kind":"official","path":"models/utils/st_bev_old.py","file_url":"https://github.com/yejy53/SG-BEV/blob/HEAD/models/utils/st_bev_old.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"99d8de14b0e04931"}},{"code_sha256_prefix":"8796486d9f4d80c7","entry":"load_model_class","repo":"yejy53/SG-BEV","repo_kind":"official","path":"dist_train_tensorboard.py","file_url":"https://github.com/yejy53/SG-BEV/blob/HEAD/dist_train_tensorboard.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"8796486d9f4d80c7"}},{"code_sha256_prefix":"561a9c843f007514","entry":"point_sampling_pano_old","repo":"yejy53/SG-BEV","repo_kind":"official","path":"models/utils/sg_bev.py","file_url":"https://github.com/yejy53/SG-BEV/blob/HEAD/models/utils/sg_bev.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"561a9c843f007514"}},{"code_sha256_prefix":"17e0e2d3747a1932","entry":"sat2grd_uv","repo":"yejy53/SG-BEV","repo_kind":"official","path":"models/utils/gp_bev.py","file_url":"https://github.com/yejy53/SG-BEV/blob/HEAD/models/utils/gp_bev.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"17e0e2d3747a1932"}},{"code_sha256_prefix":"e6f67f23a8497ba5","entry":"get_BEV_projection","repo":"yejy53/SG-BEV","repo_kind":"official","path":"models/utils/st_bev_old.py","file_url":"https://github.com/yejy53/SG-BEV/blob/HEAD/models/utils/st_bev_old.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"e6f67f23a8497ba5"}},{"code_sha256_prefix":"40c6df9be6f5a505","entry":"get_BEV_projection_module","repo":"yejy53/SG-BEV","repo_kind":"official","path":"models/utils/st_bev.py","file_url":"https://github.com/yejy53/SG-BEV/blob/HEAD/models/utils/st_bev.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"40c6df9be6f5a505"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}