{"id":"W2517595844","doi":"10.1109/iscas.2016.7539154","title":"Superpixel-based salient region detection using the wavelet transform","year":2016,"lang":"en","type":"article","venue":"","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Wavelet transform; Wavelet; Computer science; Salient; Artificial intelligence; Computer vision; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002289663,0.0000978962,0.00006936033,0.00008519164,0.0002610937,0.00008029353,0.0002984012,0.00004940209,0.00002653923],"category_scores_gemma":[0.00001333495,0.00004717219,0.0000945268,0.0003219924,0.00004571301,0.0003989651,0.00002458235,0.00005410937,0.00004257706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008833451,"about_ca_system_score_gemma":0.00002978952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004290474,"about_ca_topic_score_gemma":0.00005042591,"domain_scores_codex":[0.9990694,0.00007165856,0.000172989,0.0002541919,0.0002313058,0.0002004435],"domain_scores_gemma":[0.9994695,0.00003770463,0.00003882137,0.000337163,0.00006395924,0.00005282037],"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":[0.00002705832,0.00008830408,0.0001912061,0.00000884515,0.00001150811,0.000004703203,0.0002654462,0.00006718187,0.1702151,0.0149971,0.0001239644,0.8139996],"study_design_scores_gemma":[0.001190343,0.0003747023,0.002208315,0.00004782822,0.00001451908,0.0000806747,0.00009764129,0.409363,0.5687324,0.005251474,0.01225997,0.0003790933],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1238734,0.000005335738,0.8708041,0.003821305,0.0004722406,0.0001390522,2.35238e-7,0.0002038607,0.0006804411],"genre_scores_gemma":[0.9973809,0.0000041747,0.00148705,0.0006332346,0.0000499017,0.00001038154,1.519822e-7,0.000006278919,0.0004278944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8735076,"threshold_uncertainty_score":0.2008148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492191174391076,"score_gpt":0.2641670215172296,"score_spread":0.2292451097733188,"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."}}