{"id":"W4286436750","doi":"10.18280/ria.360314","title":"DEFUSE: Deep Fused End-to-End Video Text Detection and Recognition","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Text detection; Computer science; Artificial intelligence; Computer vision; Optical character recognition; Motion blur; License; Detector; Motion (physics); Contrast (vision); Pattern recognition (psychology); Image (mathematics)","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":[0.0006951281,0.001417235,0.0009570066,0.00156893,0.0002995684,0.0008056003,0.001499515,0.0009849243,0.002534258],"category_scores_gemma":[0.001400397,0.0002760552,0.0008361043,0.0006350753,0.0003622631,0.001809642,0.001333075,0.001155794,0.001884772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007774587,"about_ca_system_score_gemma":0.0007080791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007179251,"about_ca_topic_score_gemma":0.01086491,"domain_scores_codex":[0.9992853,0.00006274759,0.00003407427,0.0001633359,0.0003492904,0.0001052803],"domain_scores_gemma":[0.9995365,0.00007559805,0.00004756451,0.0001127991,0.0001895389,0.00003804297],"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":[0.0006441086,0.0004217795,0.001537716,0.0002566404,0.0001879917,0.000311949,0.00008307006,0.02538564,0.07381338,0.00117434,0.0147462,0.8814373],"study_design_scores_gemma":[0.00006473297,0.0005987977,0.003776219,0.00004070628,0.00009184735,0.0005674961,0.00008120123,0.8421414,0.1388157,0.002195152,0.01156206,0.00006459841],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1182171,0.002501449,0.8359774,0.0004305657,0.0004918365,0.000587248,0.004076945,0.03114235,0.006575094],"genre_scores_gemma":[0.4974113,0.0009067888,0.4627112,0.0006679808,0.0001659928,0.0002920943,0.0129179,0.0005167109,0.02440995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007179251,"threshold_uncertainty_score":0.01427495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585816941373015,"score_gpt":0.2240080463379186,"score_spread":0.1981498769241885,"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."}}