{"id":"W4385801669","doi":"10.1109/cvprw59228.2023.00145","title":"A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer","year":2023,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Homogeneous; Preprocessor; Haze; Artificial intelligence; RGB color model; Transformer; Image (mathematics); Computer vision; Data mining; Mathematics","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":[0.0006805521,0.0008586416,0.0006656236,0.0007773027,0.0003528763,0.0009225273,0.002155245,0.0008256929,0.001723362],"category_scores_gemma":[0.001577776,0.0003646723,0.0009106282,0.0008259108,0.0009404868,0.002266857,0.002556715,0.002194638,0.0007871171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005058274,"about_ca_system_score_gemma":0.001023232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002602863,"about_ca_topic_score_gemma":0.003690685,"domain_scores_codex":[0.9995099,0.00004895219,0.00002293964,0.0001475774,0.0002134375,0.00005713313],"domain_scores_gemma":[0.9993966,0.0001080206,0.00005646423,0.0002497687,0.0001505664,0.00003861197],"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":[0.0002531186,0.000174742,0.001907547,0.0003531526,0.0001360604,0.0002687935,0.0002447266,0.2113707,0.1467794,0.03301727,0.007793601,0.597701],"study_design_scores_gemma":[0.00001716534,0.00007794769,0.0003322584,0.00001300734,0.00002079857,0.0002382742,0.00004363604,0.9361596,0.04331219,0.01520633,0.004560735,0.00001811066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008048068,0.0001107408,0.9896632,0.0001130057,0.00002458457,0.00003970041,0.00007556465,0.0008727231,0.001052351],"genre_scores_gemma":[0.2844211,0.0003650551,0.7096686,0.0002371012,0.00005085353,0.00009957226,0.0007252753,0.0002962388,0.004136149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002602863,"threshold_uncertainty_score":0.0057652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368884128365148,"score_gpt":0.3145019100628809,"score_spread":0.2808130687792295,"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."}}