{"id":"W4405137555","doi":"10.1016/j.eswa.2024.126034","title":"RQFormer: Rotated Query Transformer for end-to-end oriented object detection","year":2024,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Six Talent Peaks Project in Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; End-to-end principle; Transformer; Artificial intelligence; Computer vision; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000172767,0.0002761644,0.0002427151,0.000253056,0.000484191,0.0002436366,0.0005557616,0.00008929911,0.000007106898],"category_scores_gemma":[0.000008363517,0.0002274492,0.00009586853,0.002060086,0.00005352344,0.0005792779,0.00003253562,0.0001618934,0.0001793101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001958132,"about_ca_system_score_gemma":0.000123942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009830351,"about_ca_topic_score_gemma":0.00007944415,"domain_scores_codex":[0.9978717,0.00003342187,0.0004406626,0.0008802752,0.0003104098,0.0004635291],"domain_scores_gemma":[0.9983638,0.0002545634,0.00008156602,0.0008749641,0.0001963854,0.000228733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009602022,0.0002623358,0.00002332936,0.0003076877,0.0002554717,0.000006376498,0.003972805,0.0085232,0.1556814,0.4291443,0.008072966,0.3936541],"study_design_scores_gemma":[0.0003120806,0.0001866693,0.00004538229,0.0001026917,0.00001979442,0.0001077452,0.0001883573,0.09898562,0.01766786,0.0006873929,0.8812455,0.0004509222],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003811725,0.001053372,0.989934,0.001366786,0.0003503349,0.004718371,0.00004616733,0.001256491,0.0008933459],"genre_scores_gemma":[0.8848282,0.00006030867,0.06409404,0.0003040985,0.0005236123,0.04877476,0.00007550064,0.00007901809,0.001260505],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9258399,"threshold_uncertainty_score":0.9275111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258932832088567,"score_gpt":0.2738336322076773,"score_spread":0.2612443038867916,"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."}}