{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000320454,0.0008383492,0.0005759707,0.0007654359,0.0002050122,0.0005957612,0.001046508,0.0004665982,0.001109789],"category_scores_gemma":[0.0006867897,0.0003303237,0.0006410479,0.00043859,0.0003735007,0.001147973,0.0008584167,0.0005394835,0.0006006432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005686889,"about_ca_system_score_gemma":0.0006351839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006305488,"about_ca_topic_score_gemma":0.007904438,"domain_scores_codex":[0.9997731,0.00001784685,0.000008945839,0.00007896615,0.00008623942,0.00003488031],"domain_scores_gemma":[0.9997969,0.00003698539,0.00003014505,0.00004187198,0.00007284894,0.0000212559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006391992,0.0003132686,0.006850165,0.0001366822,0.0001347763,0.0004740314,0.0001116617,0.1881676,0.1646398,0.004205471,0.003961249,0.6303661],"study_design_scores_gemma":[0.000008088539,0.00007089241,0.001019126,0.000003620383,0.00002207576,0.000154838,0.00001034583,0.9800515,0.01735004,0.0005517036,0.0007499828,0.000007884217],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1006783,0.0004229953,0.892639,0.0001819237,0.00007074214,0.0001126498,0.0001868456,0.002950918,0.002756585],"genre_scores_gemma":[0.8343993,0.0004846036,0.1592444,0.0002490386,0.00004590668,0.00005747614,0.000532991,0.0001621819,0.004824096],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006305488,"threshold_uncertainty_score":0.01253754,"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."}}