{"id":"W4386053890","doi":"10.37256/aie.4220233058","title":"A Framework for Open World Object Detection","year":2023,"lang":"en","type":"article","venue":"Artificial Intelligence Evolution","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tamkeen; York University; New York University Abu Dhabi","keywords":"Pascal (unit); Object detection; Computer science; Viola–Jones object detection framework; Artificial intelligence; Benchmark (surveying); Object (grammar); Cognitive neuroscience of visual object recognition; Object-class detection; Parametric statistics; Machine learning; Computer vision; Method; Pattern recognition (psychology); Object-oriented programming; Mathematics; Face detection","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003367243,0.001744108,0.001720792,0.004054808,0.001183931,0.003901696,0.007029749,0.002930937,0.004691474],"category_scores_gemma":[0.00751292,0.00123783,0.003289538,0.002629226,0.002078801,0.004423567,0.005560385,0.003982476,0.00303044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860594,"about_ca_system_score_gemma":0.002382958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009854792,"about_ca_topic_score_gemma":0.00976328,"domain_scores_codex":[0.9953018,0.0007258843,0.000269449,0.001312652,0.002024478,0.0003656112],"domain_scores_gemma":[0.9969413,0.0008982868,0.000292111,0.0008158467,0.0008784296,0.0001741014],"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":[0.0001891733,0.0002454619,0.001563194,0.0004570232,0.0002147519,0.0004971302,0.0003097955,0.1186754,0.009586683,0.1596895,0.02374294,0.6848289],"study_design_scores_gemma":[0.00002259269,0.000069464,0.0004471393,0.00006846224,0.00003790704,0.0005105824,0.00005764263,0.8484766,0.005062975,0.1083566,0.03682897,0.00006106488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003950185,0.0002370139,0.9968637,0.00006843376,0.00003059388,0.00005702351,0.00009424119,0.001750965,0.0005029812],"genre_scores_gemma":[0.0366504,0.0005708204,0.9580349,0.0002097791,0.0001225213,0.0003206847,0.001079155,0.0004453803,0.002566388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009854792,"threshold_uncertainty_score":0.01959485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110805787362159,"score_gpt":0.377960907813944,"score_spread":0.267155120451785,"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."}}