{"id":"W4387803165","doi":"10.1109/igarss52108.2023.10283369","title":"Instance Segmentation on 3D City Meshes for Building Extraction","year":2023,"lang":"en","type":"article","venue":"","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Segmentation; Computer science; Polygon mesh; Scale-space segmentation; Image segmentation; Artificial intelligence; Segmentation-based object categorization; Architecture; Hidden Markov model; Data mining; Pattern recognition (psychology); Machine learning; Computer vision; Computer graphics (images); Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003045869,0.001230961,0.001238717,0.003764298,0.0007288848,0.00159544,0.001521274,0.001693259,0.004458557],"category_scores_gemma":[0.001770749,0.0007245685,0.002085153,0.003640232,0.0005241592,0.001335527,0.001333435,0.001038413,0.002479327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008589259,"about_ca_system_score_gemma":0.0008438078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252698,"about_ca_topic_score_gemma":0.02805718,"domain_scores_codex":[0.9994124,0.00005301191,0.00003393733,0.0001960282,0.0002088681,0.00009574203],"domain_scores_gemma":[0.9996188,0.0001194991,0.00003592444,0.0001047459,0.00009750535,0.00002357889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003353655,0.0001877589,0.006900575,0.0005530812,0.0002452298,0.0006607565,0.0003666764,0.3160518,0.04717454,0.01305128,0.03129543,0.5831775],"study_design_scores_gemma":[0.00001037011,0.00002195118,0.001824542,0.00003530304,0.00003020101,0.0002054063,0.0001267852,0.9692302,0.01242675,0.00708801,0.008977503,0.0000228818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03968855,0.0004791556,0.9353901,0.000242531,0.0001254434,0.0002907387,0.005600899,0.01395019,0.004232503],"genre_scores_gemma":[0.3126675,0.0006481339,0.653995,0.0002369775,0.00009266199,0.000306557,0.0276795,0.001451622,0.002922041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01252698,"threshold_uncertainty_score":0.02490813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03521102526170028,"score_gpt":0.3070178034023432,"score_spread":0.2718067781406429,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}