{"id":"W2125554047","doi":"10.1109/crv.2013.25","title":"Existence Detection of Objects in Images for Robot Vision Using Saliency Histogram Features","year":2013,"lang":"en","type":"article","venue":"","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial intelligence; Histogram; Computer vision; Computer science; Object detection; Object (grammar); Robot; Histogram of oriented gradients; Robotics; Image (mathematics); Pattern recognition (psychology)","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":[0.0003236953,0.0005318411,0.0006267835,0.002780785,0.0003186839,0.0005695335,0.0007910146,0.0004692517,0.001490726],"category_scores_gemma":[0.001274178,0.0003162523,0.0004538251,0.0009728367,0.0003225801,0.0009821305,0.0005684542,0.0004711335,0.0004566557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004411371,"about_ca_system_score_gemma":0.0003607549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002089648,"about_ca_topic_score_gemma":0.003039634,"domain_scores_codex":[0.9998206,0.00002280358,0.000007610394,0.00004631739,0.0000749406,0.00002760807],"domain_scores_gemma":[0.9994808,0.0002138689,0.00008030087,0.00005508287,0.0001272416,0.00004276558],"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":[0.0003331717,0.0002181412,0.004544052,0.0003292876,0.00008125883,0.0003120195,0.0001507419,0.01676794,0.1858431,0.001843631,0.004616365,0.7849603],"study_design_scores_gemma":[0.00005908585,0.000486349,0.03166735,0.00005829531,0.0001493838,0.001538203,0.0002308861,0.8046006,0.1456923,0.01019725,0.005235882,0.0000843839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1089594,0.00127845,0.8849924,0.0001696422,0.00005768186,0.0001382662,0.0002851825,0.002774977,0.001344078],"genre_scores_gemma":[0.7120397,0.000678276,0.2858264,0.00007325279,0.00009620627,0.00008145501,0.0004435733,0.0001182552,0.0006428654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002780785,"threshold_uncertainty_score":0.004986942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013411660545948,"score_gpt":0.3025212718374584,"score_spread":0.2823871552319989,"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."}}