{"id":"W2612706635","doi":"10.1109/iccv.2017.288","title":"A Simple Yet Effective Baseline for 3d Human Pose Estimation","year":2017,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":1491,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Nvidia","keywords":"Computer science; Pose; Artificial intelligence; Benchmark (surveying); Ground truth; Deep learning; Feed forward; Computer vision; Task (project management); Convolutional neural network; Baseline (sea); Outlier; 3D pose estimation; Pixel; Set (abstract data type); Word error rate; Surprise; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483308322566915,"score_gpt":0.3302361433871676,"score_spread":0.3054030601614984,"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."}}