{"id":"W2753588254","doi":"10.1109/cvpr.2017.518","title":"Gated Feedback Refinement Network for Dense Image Labeling","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":237,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba; Nvidia","keywords":"Pascal (unit); Computer science; Parsing; Ambiguity; Encoder; Deep learning; Artificial intelligence; Data mining; Algorithm; Pattern recognition (psychology); Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007575867,0.001218649,0.0009449333,0.0007178026,0.0004648757,0.0006275331,0.002119111,0.001194515,0.00357834],"category_scores_gemma":[0.002167136,0.0005611462,0.0005701983,0.0007537234,0.0008354225,0.001652954,0.001299432,0.001542158,0.001113211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219456,"about_ca_system_score_gemma":0.001389196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159961,"about_ca_topic_score_gemma":0.02358583,"domain_scores_codex":[0.9995518,0.00008651009,0.00001745592,0.0001612871,0.0001143979,0.00006859539],"domain_scores_gemma":[0.9994509,0.0001966659,0.00006025186,0.0001231099,0.0001335211,0.000035508],"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":[0.0003975817,0.0001949977,0.001351464,0.0002029683,0.00006644366,0.0002639841,0.0002106185,0.375079,0.03210789,0.02098229,0.01494734,0.5541954],"study_design_scores_gemma":[0.00001497689,0.00004176441,0.000185275,0.00001215989,0.00001282229,0.00004460986,0.00001524204,0.9791422,0.007866989,0.01068924,0.001963383,0.00001128894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01550364,0.0003696838,0.9770347,0.0001786403,0.00005278653,0.00007714545,0.0003150611,0.004052064,0.002416315],"genre_scores_gemma":[0.4119302,0.0003948691,0.574788,0.00054649,0.0000647108,0.0002331206,0.00246188,0.0004425478,0.009138096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01159961,"threshold_uncertainty_score":0.02306414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372572947670172,"score_gpt":0.3077822061983039,"score_spread":0.2740564767216022,"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."}}