{"id":"W4405376223","doi":"10.1145/3708347","title":"Neural Image Compression with Regional Decoding","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Decoding methods; Image compression; Image (mathematics); Computer vision; Data compression; Compression (physics); Artificial intelligence; Image processing; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001779765,0.0002084569,0.0001558934,0.000257177,0.001114874,0.0004504587,0.001888846,0.00006159199,0.000004589979],"category_scores_gemma":[0.00001286956,0.000184635,0.00005448404,0.0007996566,0.0003430218,0.0006608812,0.0001668412,0.0005265388,0.00002274897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005241617,"about_ca_system_score_gemma":0.00006835988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001523714,"about_ca_topic_score_gemma":0.000006903851,"domain_scores_codex":[0.9986973,0.00007310901,0.0002817873,0.0005188229,0.0001930305,0.0002359722],"domain_scores_gemma":[0.996294,0.001074198,0.00007861151,0.002294855,0.0001404468,0.0001179447],"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":[0.00000351123,0.0001482022,0.00001355831,0.00003683595,0.00002477168,0.000001678881,0.0004956462,0.0001839268,0.004108034,0.006924018,0.0000963253,0.9879635],"study_design_scores_gemma":[0.0001689247,0.00005254227,0.00008547689,0.0002131474,0.00002274168,0.00008094648,0.00006280663,0.9775892,0.0008123347,0.005247815,0.01541319,0.0002509077],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001925496,0.001083002,0.9896162,0.006823187,0.00003912268,0.0004112441,0.000008786334,0.001521471,0.0003044177],"genre_scores_gemma":[0.2966987,0.0003600566,0.7024705,0.0001702122,0.00002676154,0.0002045323,0.00001440301,0.00002079396,0.00003401548],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9877126,"threshold_uncertainty_score":0.8574823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000117844005691,"score_gpt":0.3270405991783132,"score_spread":0.2970394207382563,"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."}}