{"id":"W4394862737","doi":"10.1109/wacvw60836.2024.00032","title":"Spatio-Temporal Activity Detection via Joint Optimization of Spatial and Temporal Localization","year":2024,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Joint (building); Computer science; Artificial intelligence; Computer vision; Pattern recognition (psychology); Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001584576,0.00009144232,0.0001021287,0.0001927117,0.00008238337,0.0001463398,0.000058376,0.00006517128,0.00008757205],"category_scores_gemma":[0.00001150386,0.00008475556,0.00003372434,0.0002862434,0.00002822884,0.0009356444,0.000035551,0.00007174229,0.00001169479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003310479,"about_ca_system_score_gemma":0.00003280182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00073706,"about_ca_topic_score_gemma":0.0003725352,"domain_scores_codex":[0.9992373,0.00005446335,0.0001933305,0.0002548149,0.0001693647,0.0000907536],"domain_scores_gemma":[0.9996656,0.00001925024,0.00007363919,0.0001224972,0.0000760402,0.00004298839],"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":[0.00003816482,0.0001598726,0.002297744,0.0002651076,0.0000498687,0.00001007958,0.000675883,0.01403906,0.008578671,0.002505512,0.0001904509,0.9711896],"study_design_scores_gemma":[0.000115843,0.00009907936,0.001100314,0.00002735231,0.000007750792,0.00001203788,0.000007270807,0.9419326,0.05550051,0.0007028569,0.0003987849,0.00009561385],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03291102,0.00002257203,0.9656448,0.0001180768,0.0003668417,0.0001396387,0.000001981892,0.000230024,0.0005650767],"genre_scores_gemma":[0.9916628,0.00001063043,0.008092421,0.00003581787,0.00007641269,0.000007414818,0.00002608981,0.000007533985,0.00008088893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.971094,"threshold_uncertainty_score":0.3456231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754820433760209,"score_gpt":0.2354173574639131,"score_spread":0.217869153126311,"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."}}