{"id":"W3045524092","doi":"10.1109/cvprw50498.2020.00061","title":"Fast Human Head and Shoulder Detection Using Convolutional Networks and RGBD Data","year":2020,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Artificial intelligence; Convolutional neural network; Computation; Deep learning; Bounding overwatch; Head (geology); RGB color model; Human head; Pattern recognition (psychology); Computer vision; Image (mathematics); Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004737646,0.001281762,0.0005542857,0.001104394,0.0002190451,0.0007215902,0.001156733,0.0007470115,0.002871725],"category_scores_gemma":[0.00169505,0.0006526607,0.0005188725,0.0007499326,0.0003202943,0.001013533,0.001019053,0.0007572587,0.001295566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008789184,"about_ca_system_score_gemma":0.0007544276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01361946,"about_ca_topic_score_gemma":0.02631794,"domain_scores_codex":[0.999652,0.00003453828,0.00001387315,0.0001079715,0.0001336245,0.00005809664],"domain_scores_gemma":[0.9994805,0.0001738044,0.00007123359,0.0001009414,0.000141042,0.00003242703],"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":[0.0005246666,0.0002009988,0.006189623,0.0002627212,0.0002633007,0.0002153404,0.00007974825,0.1133604,0.06895362,0.00217434,0.008968159,0.7988071],"study_design_scores_gemma":[0.0000140153,0.00008480154,0.003612984,0.00003179221,0.00003708024,0.0001658703,0.00001666423,0.9641376,0.02757256,0.001869122,0.002432051,0.00002542329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04953951,0.001071149,0.9380624,0.0002799724,0.0001448688,0.00008861927,0.0008311647,0.007600138,0.002382125],"genre_scores_gemma":[0.5842316,0.001014688,0.4049796,0.0003646915,0.00009594658,0.0001258619,0.001714376,0.0002310837,0.007242145],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01361946,"threshold_uncertainty_score":0.02708036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1391526367102063,"score_gpt":0.3189975642398189,"score_spread":0.1798449275296126,"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."}}