{"id":"W2963968420","doi":"10.1109/iros.2018.8594050","title":"Fast Shadow Detection from a Single Image Using a Patched Convolutional Neural Network","year":2018,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Shadow (psychology); Computer science; Artificial intelligence; Benchmark (surveying); Convolutional neural network; Computer vision; Image (mathematics); Deep learning; Object detection; Class (philosophy); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002787792,0.0008288046,0.0006917333,0.0008245714,0.0002135637,0.0004389493,0.0009771301,0.0004789259,0.001886233],"category_scores_gemma":[0.0007676446,0.0004112308,0.0004874441,0.0005458858,0.000294092,0.0009597807,0.0008438801,0.0007484133,0.000698085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006065747,"about_ca_system_score_gemma":0.0005913639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006739133,"about_ca_topic_score_gemma":0.01133693,"domain_scores_codex":[0.9997728,0.00001733134,0.000008006534,0.00007643418,0.00008674478,0.00003862695],"domain_scores_gemma":[0.9997504,0.00005867439,0.00002955357,0.00005883296,0.00008198725,0.00002045727],"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":[0.0002960792,0.0001184829,0.002026363,0.0001290755,0.0001021799,0.0001515706,0.00007748203,0.07742386,0.07755609,0.001534142,0.003668781,0.8369158],"study_design_scores_gemma":[0.000005983247,0.0000345431,0.00125508,0.000007610832,0.00001664965,0.00009882281,0.0000113227,0.9803228,0.0164855,0.0008305545,0.000923411,0.000007650478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05174172,0.0005488389,0.9422054,0.0001285467,0.00006699598,0.0000582215,0.0001788595,0.003111431,0.001960077],"genre_scores_gemma":[0.5959117,0.0008277055,0.3963802,0.0001903381,0.00008923657,0.00007127599,0.0008472128,0.0001946795,0.005487589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006739133,"threshold_uncertainty_score":0.01339984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04124768324504936,"score_gpt":0.2850685467253373,"score_spread":0.2438208634802879,"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."}}