{"id":"W4414198493","doi":"10.1109/cvprw67362.2025.00657","title":"Dist-Tracker: A Small Object-Aware Detector and Tracker for UAV Tracking","year":2025,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Tracking (education); Detector; Jitter; Metric (unit); Object detection; Motion (physics); Set (abstract data type); Match moving","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":[0.00006603682,0.0001358093,0.0001499716,0.0000807852,0.00007444773,0.00007572037,0.0000568304,0.00009422558,0.00002349921],"category_scores_gemma":[0.00003273962,0.0001287195,0.00004559953,0.0001293359,0.00001807097,0.00005976113,0.000008985291,0.00007491103,0.000003861555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003251443,"about_ca_system_score_gemma":0.00001300609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000137483,"about_ca_topic_score_gemma":0.0001975862,"domain_scores_codex":[0.9993833,0.000008504,0.0001879363,0.0001682024,0.00005134354,0.0002006657],"domain_scores_gemma":[0.999664,0.00009794609,0.00001307777,0.0001271427,0.00004918472,0.00004865192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001795714,0.0002349393,0.01185398,0.003570724,0.0005853756,0.00002750571,0.001641509,0.5766996,0.04872518,0.0404067,0.01145871,0.3046162],"study_design_scores_gemma":[0.0009982004,0.00005331187,0.006155912,0.00009766347,0.00007327199,0.000003340895,0.0002097803,0.9484391,0.03514396,0.0008169247,0.007624272,0.0003842505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1351593,0.000287055,0.861001,0.000148993,0.0002909066,0.000343022,0.00001662898,0.0003336215,0.002419434],"genre_scores_gemma":[0.9949179,0.00003830112,0.004139944,0.0001443746,0.00004844527,0.00002556178,0.00002329048,0.00002944462,0.0006327757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8597586,"threshold_uncertainty_score":0.524903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106009599006294,"score_gpt":0.2186364027608315,"score_spread":0.2075763067707686,"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."}}