{"id":"W4317555115","doi":"10.1109/pcs56426.2022.10018035","title":"Rate-Distortion in Image Coding for Machines","year":2022,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Codec; Scalability; Artificial intelligence; Coding (social sciences); Server; Machine learning; Computer vision; Computer engineering; Computer hardware; Computer network","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":[0.004135164,0.001201932,0.0008692485,0.0007667763,0.000472977,0.001750729,0.001632536,0.001706624,0.004537891],"category_scores_gemma":[0.02110201,0.0004168768,0.0006754266,0.0009336607,0.002747008,0.003685508,0.00211789,0.00375558,0.001485835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002094927,"about_ca_system_score_gemma":0.001133597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002325083,"about_ca_topic_score_gemma":0.001521348,"domain_scores_codex":[0.9976405,0.0008067901,0.0001399631,0.0003627131,0.0008570766,0.0001929455],"domain_scores_gemma":[0.9909293,0.005985978,0.0004216832,0.001677537,0.0008899161,0.00009558936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003271089,0.00006330341,0.0006498281,0.0003129829,0.00005925518,0.000197412,0.0002445279,0.2737149,0.01161573,0.5880417,0.005852261,0.1189211],"study_design_scores_gemma":[0.00002964405,0.000114427,0.0002730543,0.00008118084,0.00001384806,0.0002251291,0.00003684536,0.7791259,0.01056974,0.2037854,0.005713556,0.00003133085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01389734,0.002654184,0.9711329,0.001415656,0.0002097672,0.00007723311,0.0001134186,0.0004434641,0.01005605],"genre_scores_gemma":[0.5088388,0.00373709,0.470723,0.0009596085,0.0004236392,0.000483504,0.0002922231,0.0004648296,0.01407719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004537891,"threshold_uncertainty_score":0.02186906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344465082442654,"score_gpt":0.273831382027988,"score_spread":0.2603867312035615,"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."}}