{"id":"W4415353191","doi":"10.1109/lgrs.2025.3623097","title":"A Lighter and Faster One-Stage Algorithm for Object Detection in Remote Sensing Images","year":2025,"lang":"","type":"article","venue":"IEEE Geoscience and Remote Sensing Letters","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China; National Foundation for Science and Technology Development","keywords":"Object detection; Context (archaeology); Feature extraction; Feature (linguistics); Computational complexity theory; Key (lock); Representation (politics); Object (grammar)","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":[0.0006571198,0.0008860864,0.0009239616,0.001010383,0.0004814893,0.0008085592,0.00179108,0.0007474294,0.003863413],"category_scores_gemma":[0.001399816,0.000434563,0.0007837568,0.0008773709,0.0003864316,0.001091253,0.001162977,0.001064623,0.002289988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006208402,"about_ca_system_score_gemma":0.001576658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009019103,"about_ca_topic_score_gemma":0.01917297,"domain_scores_codex":[0.9995269,0.00003491871,0.00002332984,0.000187971,0.0001699393,0.00005702256],"domain_scores_gemma":[0.9995409,0.0001008334,0.00004593752,0.0001145048,0.0001668153,0.00003097088],"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":[0.0002465926,0.0001212469,0.00139949,0.0001149526,0.00008787038,0.00006035247,0.000064634,0.02491664,0.05920032,0.002380718,0.006034401,0.9053727],"study_design_scores_gemma":[0.00004767619,0.0001710808,0.002390099,0.00001426761,0.00004490832,0.0001770054,0.00004377917,0.9584365,0.0284076,0.002380757,0.007851854,0.00003449683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01013731,0.0002484315,0.9842654,0.00007546738,0.0000537751,0.000107837,0.0001033311,0.0042139,0.0007945607],"genre_scores_gemma":[0.1124373,0.0001873305,0.8811495,0.0001944755,0.00005196457,0.0002030851,0.000873072,0.000249561,0.004653629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009019103,"threshold_uncertainty_score":0.01793319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190889054706092,"score_gpt":0.2657433253545956,"score_spread":0.2438344348075347,"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."}}