{"id":"W4281698687","doi":"10.1117/12.2621608","title":"Deep visible to thermal infrared style transfer in dynamic video sequences","year":2022,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Artificial intelligence; Thermal infrared; Infrared; Computer vision; Deep learning; Transfer of learning; Thermal; Pattern recognition (psychology); Optics","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":[0.000341234,0.0004555186,0.0002579198,0.0003307576,0.0001100529,0.0003451318,0.0003903089,0.0003163579,0.001303406],"category_scores_gemma":[0.0008661263,0.0001687263,0.0003145327,0.0002619155,0.0002655823,0.000570344,0.0004184415,0.0006318032,0.0003337131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003467564,"about_ca_system_score_gemma":0.0002818989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002722231,"about_ca_topic_score_gemma":0.003351903,"domain_scores_codex":[0.9999042,0.00001857687,0.000003394248,0.000029064,0.00002445281,0.00002037734],"domain_scores_gemma":[0.9998697,0.00003915306,0.0000167933,0.00002558779,0.00003214647,0.00001652497],"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":[0.0003692802,0.0002224019,0.001620134,0.0000968452,0.00004795474,0.0001201784,0.0001037078,0.3976632,0.08942033,0.005662218,0.001869565,0.5028041],"study_design_scores_gemma":[0.000005690009,0.0000489435,0.0006198563,0.000006433081,0.000004963397,0.00002670859,0.00001110819,0.9818812,0.01519247,0.001700801,0.0004962801,0.000005504327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3006127,0.0004581052,0.6922591,0.0002749978,0.0001454873,0.00008277681,0.0001582174,0.001250711,0.004757974],"genre_scores_gemma":[0.8936664,0.0003114951,0.09970251,0.0001146175,0.00004223672,0.00003195021,0.0002428641,0.00008061199,0.005807397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002722231,"threshold_uncertainty_score":0.005412698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008176835126935234,"score_gpt":0.2474092782686171,"score_spread":0.2392324431416819,"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."}}