{"id":"W4413144712","doi":"10.1109/cvpr52734.2025.00625","title":"PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds","year":2025,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Point cloud; Computer science; Lidar; Artificial intelligence; Point (geometry); Computer vision; Remote sensing; Geography; Mathematics; Geometry","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":[0.0001518202,0.0001115217,0.0001126241,0.00007492494,0.0002234303,0.0002156575,0.0001860807,0.00005818949,0.0001884493],"category_scores_gemma":[0.00003691511,0.0000984036,0.00004373784,0.0002208624,0.00001349761,0.0002819744,0.000124369,0.0001852049,0.0001697069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002674686,"about_ca_system_score_gemma":0.00004272668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000185618,"about_ca_topic_score_gemma":0.000005788102,"domain_scores_codex":[0.9991774,0.00006883491,0.0001458032,0.0003097625,0.000128946,0.0001692482],"domain_scores_gemma":[0.9994911,0.0001508631,0.00003116262,0.0002027739,0.00006031479,0.00006380735],"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":[0.00008261692,0.0008259205,0.004672091,0.0002573189,0.00023568,0.0001056336,0.004975049,0.0001189089,0.006466982,0.1792997,0.0243068,0.7786533],"study_design_scores_gemma":[0.009897205,0.002930628,0.07437151,0.001008465,0.000169588,0.0001383875,0.002874979,0.5194049,0.0926208,0.06878836,0.224851,0.002944182],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7517522,0.0000725878,0.09917992,0.006391623,0.0007933916,0.0003294755,0.000001917418,0.001547172,0.1399317],"genre_scores_gemma":[0.9868126,0.00003821601,0.005453603,0.002942629,0.00006244231,0.00000824116,0.000002227117,0.000005959115,0.004674084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7757092,"threshold_uncertainty_score":0.4012782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008845910197893148,"score_gpt":0.2374041134422537,"score_spread":0.2285582032443605,"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."}}