{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000256464,0.0009072679,0.0004850176,0.000942131,0.0003783381,0.0007326395,0.001671956,0.0006815812,0.01225383],"category_scores_gemma":[0.002629067,0.0002329348,0.0004077773,0.001569556,0.0004161278,0.001405371,0.001210756,0.001257938,0.004740131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009280222,"about_ca_system_score_gemma":0.001152831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007030206,"about_ca_topic_score_gemma":0.008894865,"domain_scores_codex":[0.9995353,0.00001968491,0.00002068013,0.00007836961,0.0002941094,0.00005179776],"domain_scores_gemma":[0.9992898,0.0001181219,0.00004449638,0.0002342923,0.0002865891,0.00002659533],"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":[0.0005119682,0.0001370719,0.00174777,0.0001624088,0.00004540705,0.0001909396,0.00008179913,0.05467941,0.04169366,0.01422421,0.04605067,0.8404747],"study_design_scores_gemma":[0.00005059012,0.00009203973,0.001414379,0.00004867567,0.000016634,0.0002327987,0.00003513039,0.8794513,0.08292043,0.009459252,0.02624994,0.00002876708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05897534,0.0009224943,0.899911,0.0007211033,0.0004650384,0.0002823294,0.003558801,0.02318274,0.0119811],"genre_scores_gemma":[0.4251729,0.00101567,0.5434689,0.0005512146,0.0002017872,0.0005969628,0.01054008,0.001316909,0.01713559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01225383,"threshold_uncertainty_score":0.04099309,"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."}}