{"id":"W2125215748","doi":"10.1109/cvpr.2014.119","title":"The Role of Context for Object Detection and Semantic Segmentation in the Wild","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":1475,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pascal (unit); Computer science; Segmentation; Object detection; Artificial intelligence; Exploit; Context model; Context (archaeology); Pixel; Image segmentation; Object (grammar); Pattern recognition (psychology); Machine learning; Computer vision; Geography","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":0.009141096907340865,"score_gpt":0.2494392302303552,"score_spread":0.2402981333230143,"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."}}