{"id":"W1945443124","doi":"10.1109/cvpr.2015.7299060","title":"Weakly supervised localization of novel objects using appearance transfer","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba; Nvidia","keywords":"Artificial intelligence; Novelty; Object (grammar); Computer science; Computer vision; Image (mathematics); Set (abstract data type); Object detection; Novelty detection; Pattern recognition (psychology); Active appearance model","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001060466,0.001163828,0.001773714,0.001322748,0.0004606197,0.001119284,0.002582018,0.001468869,0.001296963],"category_scores_gemma":[0.003285506,0.0005780405,0.001054694,0.001325063,0.001221565,0.001891073,0.002249687,0.001430161,0.001377039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006221905,"about_ca_system_score_gemma":0.0005601363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001376942,"about_ca_topic_score_gemma":0.001934647,"domain_scores_codex":[0.999068,0.0002284524,0.00003471068,0.0003898197,0.0001899419,0.00008916673],"domain_scores_gemma":[0.9981986,0.0004942411,0.0002864539,0.0005579463,0.0003364981,0.0001263826],"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":[0.0007088601,0.0006955214,0.007629865,0.0004292496,0.0002719084,0.0007679501,0.0004756243,0.2724309,0.1251355,0.007073396,0.006355123,0.5780262],"study_design_scores_gemma":[0.00001403638,0.0001051336,0.00108608,0.000008833752,0.00002486811,0.0001232075,0.00004714681,0.9750944,0.01477158,0.007818162,0.0008909883,0.00001556882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03744907,0.0001616695,0.9601735,0.0001209627,0.00002750764,0.00004789377,0.00009289791,0.00124559,0.0006807941],"genre_scores_gemma":[0.6480002,0.0003584565,0.3435193,0.0003661031,0.0001746669,0.0002416826,0.001233887,0.0003138011,0.005791957],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002582018,"threshold_uncertainty_score":0.00560838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07522269434819795,"score_gpt":0.2884285464433659,"score_spread":0.2132058520951679,"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."}}