{"id":"W4377832608","doi":"10.18280/ts.400221","title":"Face Mask Segmentation Method Combining Salient Features and Gender Constraints","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Face recognition and analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Salient; Segmentation; Face (sociological concept); Artificial intelligence; Computer vision; Computer science; Pattern recognition (psychology); Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002454708,0.0007572063,0.0005424899,0.0006143384,0.0003044168,0.0004305066,0.0007655374,0.0006181375,0.001918028],"category_scores_gemma":[0.0005032794,0.0002822049,0.0006237823,0.000267603,0.0002790465,0.0006651148,0.0005566804,0.0004095417,0.0007267697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004139683,"about_ca_system_score_gemma":0.0008333601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002930519,"about_ca_topic_score_gemma":0.003794575,"domain_scores_codex":[0.9997748,0.00001808259,0.000009205837,0.00007119532,0.00008777442,0.00003902562],"domain_scores_gemma":[0.9998991,0.00001922717,0.0000121826,0.00001578802,0.00004066633,0.00001304437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004224491,0.0001205196,0.00227564,0.0001314546,0.0000795924,0.0003552005,0.0001710016,0.06385475,0.2786621,0.005076887,0.004843867,0.6440067],"study_design_scores_gemma":[0.00001427905,0.0001250755,0.002873088,0.00001329888,0.00006308391,0.0005741654,0.00004292396,0.9008785,0.08863305,0.002612886,0.004143158,0.00002642651],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06069915,0.0003983338,0.9344665,0.0002088739,0.00009397239,0.00009233681,0.0001262805,0.0009430586,0.00297148],"genre_scores_gemma":[0.562641,0.0006999345,0.4228975,0.0003094823,0.0001328695,0.0001365266,0.0005809344,0.0002223803,0.01237936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002930519,"threshold_uncertainty_score":0.00641638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04078981505591948,"score_gpt":0.3037998554255382,"score_spread":0.2630100403696187,"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."}}