{"id":"W3028020181","doi":"10.1155/2020/7286187","title":"Learning Feature Fusion in Deep Learning-Based Object Detector","year":2020,"lang":"en","type":"article","venue":"Journal of Engineering","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Artificial intelligence; Computer science; Pascal (unit); Object detection; Deep learning; Convolutional neural network; Pattern recognition (psychology); Feature extraction; Feature (linguistics); Detector; Feature learning; Machine learning; Computer vision","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":[0.001730249,0.00115556,0.001371408,0.001198581,0.0003336046,0.0008189385,0.001636816,0.001175164,0.001223645],"category_scores_gemma":[0.002405952,0.0004770239,0.0007908571,0.0009489852,0.000662329,0.001878873,0.001685009,0.001263488,0.000775671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053649,"about_ca_system_score_gemma":0.0007091458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00269021,"about_ca_topic_score_gemma":0.003253731,"domain_scores_codex":[0.9991817,0.0001094965,0.0000431786,0.0002783568,0.0002227636,0.0001644524],"domain_scores_gemma":[0.9993781,0.000202187,0.00007069727,0.00009943762,0.000209266,0.00004031872],"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":[0.0004544725,0.0003147889,0.003446566,0.0001440303,0.0002011166,0.0001784267,0.0001195809,0.2101906,0.04638628,0.006156881,0.003519534,0.7288877],"study_design_scores_gemma":[0.00001131216,0.0001031465,0.0008675988,0.00001161427,0.00003837011,0.00007539108,0.00001628091,0.9754156,0.01861774,0.003802238,0.001025985,0.00001479448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04520275,0.000567964,0.9508129,0.0001270153,0.00005274113,0.00005733979,0.0001172244,0.002138713,0.0009233588],"genre_scores_gemma":[0.6334652,0.0002720222,0.3624054,0.0003231847,0.0000543895,0.0001032641,0.0005924695,0.0001289223,0.002655159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00269021,"threshold_uncertainty_score":0.009150565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008148556892061912,"score_gpt":0.2164947666093686,"score_spread":0.2083462097173067,"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."}}