{"id":"W3217399447","doi":"10.18280/ts.380510","title":"Depth Estimation of Single Defocused Images Based on Multi-Feature Fusion","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hefei Normal University; Anhui University","keywords":"Artificial intelligence; Computer vision; Feature (linguistics); Gaussian; Gaussian blur; Computer science; Mathematics; Segmentation; Image restoration; Filter (signal processing); Rotation (mathematics); Image (mathematics); Pattern recognition (psychology); Image processing","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":[0.0003952049,0.0008368854,0.0009308539,0.001735169,0.0003323928,0.0006482206,0.0007408967,0.0006313256,0.001011225],"category_scores_gemma":[0.001516426,0.0004642814,0.0007900282,0.001041498,0.000282048,0.002152205,0.00136965,0.0007586856,0.0002967887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005063721,"about_ca_system_score_gemma":0.0005238308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001850528,"about_ca_topic_score_gemma":0.002355331,"domain_scores_codex":[0.9994732,0.00004983418,0.00002622805,0.00011033,0.0002716217,0.00006881401],"domain_scores_gemma":[0.9994705,0.00009623442,0.00009872234,0.00008032425,0.0002186319,0.00003547093],"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":[0.0004023941,0.00008350066,0.002207069,0.0003765434,0.0001164273,0.0002429951,0.0003886287,0.05050578,0.3369859,0.004674796,0.00128201,0.6027339],"study_design_scores_gemma":[0.00003355534,0.0002187587,0.004539986,0.00002967162,0.00008632494,0.0006528996,0.000102627,0.8497761,0.1370493,0.003991758,0.00343357,0.00008540168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03483155,0.0004509012,0.9634922,0.00005324903,0.00003081068,0.00003068745,0.0000690564,0.0003992175,0.0006424297],"genre_scores_gemma":[0.472067,0.0005997529,0.5258322,0.00007443123,0.00006111369,0.00004753456,0.0002041964,0.00009656711,0.001017106],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001850528,"threshold_uncertainty_score":0.003679574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172244773315605,"score_gpt":0.2473149891317221,"score_spread":0.2300905118001616,"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."}}