{"id":"W4387801726","doi":"10.1109/igarss52108.2023.10282538","title":"Natural Language Aided Remote Sensing Image Few-Shot Classification","year":2023,"lang":"en","type":"article","venue":"","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Contextual image classification; Generalization; Embedding; Artificial intelligence; Feature (linguistics); Image (mathematics); Remote sensing; Domain (mathematical analysis); Deep learning; Feature extraction; Modal; Machine learning; Pattern recognition (psychology)","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":[0.0007336232,0.0009036284,0.0007813292,0.001393039,0.0003815742,0.0007523607,0.001534808,0.001002838,0.004915277],"category_scores_gemma":[0.001388919,0.0001799829,0.0007956162,0.0007588591,0.0004703476,0.001308104,0.001011478,0.0009444566,0.002412742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005796805,"about_ca_system_score_gemma":0.0007420446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004096102,"about_ca_topic_score_gemma":0.009054614,"domain_scores_codex":[0.9994653,0.00007488211,0.00002425943,0.0002412296,0.0001112313,0.00008303244],"domain_scores_gemma":[0.9994146,0.0001539383,0.00005419118,0.0001587526,0.0001807717,0.00003779504],"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":[0.0003490986,0.0005843222,0.002203263,0.0003880335,0.00008884801,0.0004041918,0.0001694929,0.0330403,0.1256979,0.004427034,0.01245635,0.8201911],"study_design_scores_gemma":[0.00001661212,0.0001833782,0.003570492,0.00003755041,0.00003939238,0.0003287089,0.0001437553,0.91438,0.06643358,0.005473588,0.009350131,0.00004280155],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1300625,0.0009443149,0.8468423,0.0004396438,0.0002515541,0.0003687605,0.002080369,0.009441119,0.00956944],"genre_scores_gemma":[0.5307248,0.0003293546,0.4481118,0.0004080592,0.0001453228,0.0003308206,0.006644139,0.0002865513,0.01301909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004915277,"threshold_uncertainty_score":0.01644319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914390381003166,"score_gpt":0.2760215809115873,"score_spread":0.2468776771015557,"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."}}