{"id":"W7008932598","doi":"","title":"Deep learning approaches to person re-identification","year":2019,"lang":"en","type":"dissertation","venue":"OPUS - Open Publications of UTS Scholars (University of Technology Sydney)","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Deep learning; Feature (linguistics); Focus (optics); Perspective (graphical); Key (lock)","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":[0.001491075,0.0009865961,0.001415578,0.001286699,0.000494471,0.001969578,0.001620083,0.001776166,0.00339986],"category_scores_gemma":[0.002936494,0.000635461,0.0008435031,0.001586443,0.0007100002,0.003146278,0.001987444,0.003223079,0.002957072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333527,"about_ca_system_score_gemma":0.0009746552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207126,"about_ca_topic_score_gemma":0.01263323,"domain_scores_codex":[0.9989324,0.0001980171,0.00005077563,0.0003465691,0.0003064868,0.000165741],"domain_scores_gemma":[0.9985027,0.0005047087,0.0000777344,0.0004504273,0.0004038983,0.00006050959],"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":[0.00005315126,0.0001283471,0.001026266,0.0001254481,0.0001152853,0.00004567719,0.0001434473,0.07871818,0.00409348,0.01857496,0.0183707,0.878605],"study_design_scores_gemma":[0.000003711395,0.00002275262,0.0008681184,0.00004746111,0.00002160613,0.00005191851,0.00009031066,0.9282535,0.004149592,0.05385257,0.01261678,0.00002173508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008522839,0.003647536,0.9802299,0.001732194,0.0003591549,0.00003537527,0.0003257942,0.001648865,0.003498366],"genre_scores_gemma":[0.3646369,0.008286565,0.5545766,0.001224007,0.0009614426,0.0001155372,0.003292775,0.0006730045,0.06623321],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01207126,"threshold_uncertainty_score":0.02400196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08104640891092647,"score_gpt":0.2865991729207338,"score_spread":0.2055527640098073,"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."}}