{"id":"W4402264124","doi":"10.1109/igarss53475.2024.10640832","title":"Detection of Small Objects from UAV Imagery via an Improved Swin Transformer","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Transformer; Aerial imagery; Engineering; Electrical engineering; Voltage","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":[0.0002277629,0.0001530093,0.0001779955,0.0001798111,0.0000257561,0.00003946972,0.00008714486,0.0001453366,0.0002470085],"category_scores_gemma":[0.00003804977,0.0001405434,0.00009888961,0.0002333289,0.00002418775,0.0002977683,0.000006087621,0.0002219568,0.00003840794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005296697,"about_ca_system_score_gemma":0.00001397655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002062798,"about_ca_topic_score_gemma":0.0001863015,"domain_scores_codex":[0.9992208,0.00005282208,0.0002549285,0.0001975397,0.00007845493,0.000195416],"domain_scores_gemma":[0.9995419,0.0001746024,0.00001260643,0.0001942822,0.00003111459,0.00004554113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001448157,0.000004926381,0.000004142722,0.00008007014,0.00004965205,0.000003396382,0.0005067201,0.001397262,0.907954,0.000006252695,0.000009532751,0.08996958],"study_design_scores_gemma":[0.00009117564,0.00006567006,0.0003651197,0.00001183354,0.00002264997,0.000004968027,0.0001760663,0.1457893,0.8512474,0.001920847,0.0001598033,0.0001451479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4280026,0.0003296744,0.566675,0.000005738479,0.001339268,0.0001055667,0.00001224653,0.001193109,0.002336831],"genre_scores_gemma":[0.8965223,0.00003192335,0.1030729,0.00001492072,0.0001431003,0.00002136407,0.000007365822,0.00004528849,0.0001408135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4685197,"threshold_uncertainty_score":0.5731195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181303285496975,"score_gpt":0.2390426728664388,"score_spread":0.2172296400114691,"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."}}