{"id":"W18179083","doi":"","title":"Efficient disparity estimation using region based segmentation and multistage feedback","year":2006,"lang":"en","type":"article","venue":"International Conference on Communications","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence; Window (computing); Computational complexity theory; Stereoscopy; Computer vision; Segmentation; Image segmentation; Image (mathematics); Algorithm","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":[0.001381284,0.0009953405,0.001847521,0.003293028,0.0008816074,0.001337853,0.002081938,0.001673597,0.003098891],"category_scores_gemma":[0.004287675,0.001204365,0.001566727,0.002174301,0.0006022456,0.001572212,0.001918659,0.001233604,0.00112205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188902,"about_ca_system_score_gemma":0.002053996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01679593,"about_ca_topic_score_gemma":0.01653966,"domain_scores_codex":[0.9991683,0.0001443896,0.00004250415,0.0002114001,0.0002662822,0.0001670524],"domain_scores_gemma":[0.9983863,0.0006476737,0.0001541378,0.0001470171,0.0005735598,0.00009142416],"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":[0.0008397515,0.0002954686,0.004485037,0.0001578456,0.0001509875,0.0001429567,0.0002516438,0.2407995,0.03267404,0.00361383,0.003049067,0.7135398],"study_design_scores_gemma":[0.0000137602,0.00003341349,0.0006155614,0.000007711931,0.00001498793,0.00004704031,0.00001746024,0.9936246,0.003616515,0.001525252,0.0004701763,0.00001347299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02939671,0.0002892232,0.9674221,0.0001641418,0.00006995738,0.0000994383,0.0001477854,0.001480599,0.0009301069],"genre_scores_gemma":[0.2867904,0.0002970837,0.7092,0.0001454132,0.000109655,0.0001791416,0.0007070428,0.0001970208,0.002374321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01679593,"threshold_uncertainty_score":0.03339636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08738391923584261,"score_gpt":0.368824383727213,"score_spread":0.2814404644913704,"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."}}