{"id":"W4386243193","doi":"10.1109/crv60082.2023.00021","title":"Learning-to-Count by Learning-to-Rank","year":2023,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence; Benchmark (surveying); Ranking (information retrieval); Feature (linguistics); Pattern recognition (psychology); Pairwise comparison; Object (grammar); Annotation; Density estimation; Constraint (computer-aided design); Representation (politics); Spurious relationship; Rank (graph theory); Feature extraction; Image (mathematics); Object detection; Feature learning; Machine learning; Estimator; Mathematics; Statistics","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":[0.002818386,0.003508945,0.003091483,0.003422938,0.001560163,0.003327959,0.006072596,0.002988677,0.01433864],"category_scores_gemma":[0.01944503,0.001122179,0.001518561,0.003449378,0.001681216,0.005674983,0.003926639,0.003129602,0.01358126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001911726,"about_ca_system_score_gemma":0.002499947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005853828,"about_ca_topic_score_gemma":0.01455874,"domain_scores_codex":[0.9959922,0.0008829515,0.0002144061,0.001282268,0.001257041,0.00037109],"domain_scores_gemma":[0.9919191,0.002599242,0.0007049227,0.002921345,0.001498512,0.0003569864],"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":[0.0003942564,0.0004819594,0.004027274,0.0006022782,0.0001952717,0.0001841445,0.0001630901,0.1463487,0.005646837,0.03145639,0.1093775,0.7011223],"study_design_scores_gemma":[0.00006117767,0.00008582775,0.0004659797,0.00003198904,0.00002082464,0.0001355876,0.0000527201,0.9443945,0.004593067,0.04223845,0.007881606,0.00003826192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01849882,0.0005817224,0.9384721,0.0006887587,0.000281824,0.0003810974,0.002342091,0.031687,0.007066536],"genre_scores_gemma":[0.262719,0.0004456373,0.6996443,0.0008077487,0.0005596468,0.001032575,0.01271443,0.003795348,0.01828123],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01433864,"threshold_uncertainty_score":0.04796755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142944730316786,"score_gpt":0.2323007220678161,"score_spread":0.2208712747646483,"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."}}