{"id":"W4402753595","doi":"10.1109/cvpr52733.2024.00074","title":"Multiple View Geometry Transformers for 3D Human Pose Estimation","year":2024,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer vision; Transformer; Artificial intelligence; Pose; Geometry; Mathematics; Engineering; Electrical engineering; Voltage","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":[0.0007611742,0.001414037,0.0009749793,0.001011752,0.0001930456,0.001097467,0.002300573,0.0009486281,0.006138077],"category_scores_gemma":[0.002790845,0.0009276699,0.001395396,0.0008068202,0.0007747008,0.002072787,0.001826552,0.001475943,0.003711392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005711409,"about_ca_system_score_gemma":0.0006963488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004523501,"about_ca_topic_score_gemma":0.008794035,"domain_scores_codex":[0.9991744,0.0001304718,0.00002330058,0.00030467,0.0003011355,0.00006601431],"domain_scores_gemma":[0.9993709,0.0001713346,0.00006584958,0.0002224149,0.0001206358,0.00004886157],"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":[0.0004017489,0.0001161761,0.001865434,0.0001764096,0.0001429702,0.0001672207,0.000118069,0.2883666,0.02602379,0.01198005,0.007402935,0.6632387],"study_design_scores_gemma":[0.0000140061,0.00006408033,0.0005885368,0.00001322147,0.00001900198,0.0002233121,0.00002225424,0.9776258,0.00839474,0.009816504,0.00320061,0.00001798776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002564108,0.0001070448,0.9943236,0.0000373766,0.0000252077,0.00003073876,0.0001180104,0.00219629,0.0005975923],"genre_scores_gemma":[0.4146527,0.0008240556,0.5744875,0.0003793606,0.0001264266,0.00015763,0.001939074,0.0009211539,0.00651209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006138077,"threshold_uncertainty_score":0.02053392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605796016115223,"score_gpt":0.2977427117719851,"score_spread":0.2716847516108329,"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."}}