{"id":"W4221078201","doi":"10.18280/ts.390106","title":"An Improved Saliency Detection Algorithm Based on Edge Boxes and Bayesian Model","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salient; Artificial intelligence; Cluster analysis; Image (mathematics); Computer science; Algorithm; Enhanced Data Rates for GSM Evolution; Pattern recognition (psychology); Computer vision; Process (computing); Geodesic; 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":[0.001292742,0.001399482,0.001743367,0.003866093,0.0006304961,0.0009804239,0.002085203,0.001452656,0.001879516],"category_scores_gemma":[0.003896568,0.0007815508,0.001511466,0.001809513,0.0006715879,0.002326215,0.001376243,0.0009712351,0.0009233825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107092,"about_ca_system_score_gemma":0.001292179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0100477,"about_ca_topic_score_gemma":0.00855799,"domain_scores_codex":[0.9987478,0.0001937107,0.00006988485,0.0003676814,0.0004921815,0.0001286752],"domain_scores_gemma":[0.9988152,0.0003744262,0.0001279636,0.0001087193,0.0005123884,0.00006131143],"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":[0.0006259074,0.0001815189,0.003399449,0.0004050993,0.000250892,0.0003429614,0.0003532827,0.1122707,0.05864017,0.02238358,0.007952292,0.7931942],"study_design_scores_gemma":[0.00005259213,0.0001165215,0.00228435,0.00002953518,0.00005708794,0.0003058868,0.00003566399,0.9675454,0.01400622,0.01109758,0.004415798,0.00005337506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008190646,0.0003919737,0.9897436,0.00007102945,0.00003129353,0.00007129453,0.00008418618,0.0006766727,0.0007391066],"genre_scores_gemma":[0.215138,0.0006431598,0.7793848,0.0001744681,0.0001367534,0.000242742,0.0006481569,0.0002716564,0.003360236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0100477,"threshold_uncertainty_score":0.01997846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118571504821957,"score_gpt":0.2433255796858477,"score_spread":0.231468429203652,"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."}}