1
|
{"id": "9e5378e7b336c89735d3bb15cf67eff96f86d39a", "paper": {"paperId": "9e5378e7b336c89735d3bb15cf67eff96f86d39a", "key": "precarious", "title": "Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters", "journal": "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)", "address": "", "country": "", "address_type": "", "lat": "", "lng": "", "pdf_link": "https://arxiv.org/pdf/1703.06283.pdf", "report_link": "papers/9e5378e7b336c89735d3bb15cf67eff96f86d39a.html", "citation_count": 12, "citations_geocoded": 2, "citations_unknown": 10, "citations_empty": 1, "citations_pdf": 11, "citations_doi": 1, "name": "Precarious"}, "address": null, "citations": [["Modeling Camera Effects to Improve Visual Learning from Synthetic Data", "", "University of Michigan", "University of Michigan", "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "42.29421420", "-83.71003894", "edu", "", "United States", "2018"], ["Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance", "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "Gropeg\u00e5rdsgatan 11, 417 15 G\u00f6teborg, Sweden", "57.71720040", "11.92185580", "company", "", "Sweden", "2018"]]}
|
