{"id":"W4389474387","doi":"10.1109/mmsp59012.2023.10337709","title":"Learned Point Cloud Compression for Classification","year":2023,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Codec; Computer science; Point cloud; Encoder; Cloud computing; Artificial intelligence; Data compression; Reduction (mathematics); Segmentation; Real-time computing; Computer hardware; Operating system","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":[0.00008767423,0.00004420304,0.00006236423,0.00005821576,0.00003914758,0.00001453552,0.00004546224,0.00003072363,0.00003884223],"category_scores_gemma":[0.00001147228,0.0000378924,0.00004770844,0.0001385842,0.000003521034,0.00002690524,0.000006791755,0.00003269778,0.0001987926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001061245,"about_ca_system_score_gemma":0.000002000812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003276347,"about_ca_topic_score_gemma":0.000001770873,"domain_scores_codex":[0.9996855,0.000004229027,0.00008672554,0.00007669895,0.000050206,0.00009664552],"domain_scores_gemma":[0.9998233,0.00002979435,0.000006588022,0.00009836123,0.00001767776,0.00002429947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007105175,0.00001275456,0.0001204322,0.00007909863,0.00005468033,5.466587e-7,0.000214961,0.7428122,0.08339922,0.001791892,0.1291542,0.04235291],"study_design_scores_gemma":[0.00009047599,0.000004194387,0.0001390663,0.00000678368,0.000008079393,9.166774e-8,0.0000975672,0.9938542,0.001892166,0.0008417857,0.003011238,0.00005441055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08421826,0.00004511638,0.9062412,0.000723623,0.0002392911,0.00008930689,0.000004591505,0.001641601,0.006797026],"genre_scores_gemma":[0.996585,0.00004628803,0.0009849459,0.00002179073,0.00008156032,0.00001757325,0.00005018852,0.00001401673,0.002198652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9123667,"threshold_uncertainty_score":0.2555143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06997276268015341,"score_gpt":0.2885005703115615,"score_spread":0.2185278076314081,"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."}}