{"id":"W3175727500","doi":"10.1109/cvpr46437.2021.00715","title":"GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving","year":2021,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer vision; Scalability; Segmentation; Artificial intelligence; Process (computing); Computer graphics (images); Image (mathematics); Scale (ratio); Image segmentation; Database","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":[0.0004444888,0.0008178249,0.0005123236,0.0004510539,0.0004209035,0.0009296887,0.00176181,0.0008364764,0.003947217],"category_scores_gemma":[0.001659628,0.0005457659,0.0007051498,0.0003011709,0.0007245285,0.0008622922,0.00178747,0.000942956,0.000876823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000597705,"about_ca_system_score_gemma":0.0006287064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004043332,"about_ca_topic_score_gemma":0.005106079,"domain_scores_codex":[0.9997303,0.00005239827,0.000009842263,0.00004536886,0.000134086,0.00002797161],"domain_scores_gemma":[0.9996051,0.0001491849,0.00003576271,0.00009284203,0.00005891475,0.00005821843],"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":[0.0001414883,0.00007882035,0.0009844594,0.00009032025,0.00005808192,0.0002048039,0.0002338952,0.9341032,0.01830528,0.01240794,0.002931878,0.03045988],"study_design_scores_gemma":[0.00001092395,0.00001201843,0.00004861477,0.00000362435,0.000002764369,0.00002722867,0.00001608569,0.992947,0.002654489,0.002200444,0.002071626,0.000005282639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0330562,0.00009939122,0.9557961,0.0001669964,0.00007623147,0.0001154215,0.0002332327,0.005304309,0.005152117],"genre_scores_gemma":[0.5079446,0.0002302204,0.4851208,0.0001389681,0.00003870028,0.0001959472,0.0009418162,0.002416068,0.002972868],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004043332,"threshold_uncertainty_score":0.01320481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916250809742174,"score_gpt":0.3086256254092066,"score_spread":0.2894631173117848,"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."}}