{"id":"W2994275717","doi":"10.18280/ria.330406","title":"Improved Artistic Images Generation Using Transfer Learning","year":2019,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transfer of learning; Computer science; Artificial intelligence; Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006276608,0.0006188396,0.0005212461,0.0009479012,0.0002117315,0.000580791,0.000731387,0.0004854191,0.00296836],"category_scores_gemma":[0.001378092,0.0002364963,0.0007445975,0.000520552,0.0004774081,0.0008253519,0.000661514,0.0008123557,0.0007808584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005162233,"about_ca_system_score_gemma":0.0003064455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056515,"about_ca_topic_score_gemma":0.001118129,"domain_scores_codex":[0.9996418,0.00005358626,0.00001448225,0.00008931295,0.0001651746,0.00003558544],"domain_scores_gemma":[0.9995275,0.0001483905,0.00005213625,0.0001423289,0.0001041496,0.00002546079],"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":[0.0002508776,0.0001621528,0.0007722961,0.0001851797,0.00008256409,0.0002802719,0.0001267186,0.3168885,0.0795345,0.01065254,0.003201011,0.5878635],"study_design_scores_gemma":[0.00001490539,0.00007733126,0.0003752958,0.000008540502,0.00001459177,0.0001932499,0.00001175787,0.9656745,0.02843816,0.002794774,0.002383608,0.00001324419],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04339517,0.0004704604,0.9485078,0.0001469109,0.0001392559,0.00010796,0.00007277151,0.001662631,0.005496999],"genre_scores_gemma":[0.6509525,0.0004570091,0.3377626,0.0001729633,0.0001010702,0.00007825767,0.0002539918,0.000293463,0.009928328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00296836,"threshold_uncertainty_score":0.009930193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05624731965353506,"score_gpt":0.2678487512669264,"score_spread":0.2116014316133914,"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."}}