{"id":"W3021747502","doi":"10.1007/978-3-030-59710-8_48","title":"Source-Relaxed Domain Adaptation for Image Segmentation","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Segmentation; Prior probability; Adaptation (eye); Pattern recognition (psychology); Entropy (arrow of time); Image segmentation; Minification; Adversarial system; Divergence (linguistics)","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":[0.001069324,0.0010173,0.001601073,0.0007498508,0.0003580255,0.0008774486,0.002029062,0.001987144,0.004597947],"category_scores_gemma":[0.002373111,0.0006867995,0.001225356,0.001259874,0.0007936505,0.001614244,0.002053586,0.002451163,0.002489626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005776911,"about_ca_system_score_gemma":0.0007849789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003182104,"about_ca_topic_score_gemma":0.003498406,"domain_scores_codex":[0.9995426,0.0001306061,0.00001963941,0.0001644927,0.00008980645,0.00005279857],"domain_scores_gemma":[0.9992101,0.000397179,0.00002809877,0.0002012031,0.0001289493,0.00003440043],"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":[0.0003736116,0.0001594005,0.0002922807,0.0003652269,0.0001808325,0.0001367448,0.0001309284,0.2603691,0.04522644,0.01692086,0.0125993,0.6632453],"study_design_scores_gemma":[0.000009658072,0.0000281955,0.0002010882,0.00001324583,0.0000172613,0.00008806283,0.00001501133,0.9742447,0.007224045,0.01579664,0.002349083,0.00001297434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003738633,0.0005665111,0.9932554,0.00008565367,0.0000506578,0.00002621658,0.0001092208,0.001187493,0.0009803581],"genre_scores_gemma":[0.1784633,0.001458931,0.8012187,0.0004522882,0.0002078256,0.0001980225,0.002296975,0.00128897,0.01441505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004597947,"threshold_uncertainty_score":0.01538169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280201284094537,"score_gpt":0.2520000611863055,"score_spread":0.2291980483453601,"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."}}