From 797b10edaf276305c2b64b25a564c4bdea21f555 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Sun, 16 Dec 2018 13:40:28 +0100 Subject: datasetsss --- site/datasets/citations/9e5378e7b336c89735d3bb15cf67eff96f86d39a.json | 1 + 1 file changed, 1 insertion(+) create mode 100644 site/datasets/citations/9e5378e7b336c89735d3bb15cf67eff96f86d39a.json (limited to 'site/datasets/citations/9e5378e7b336c89735d3bb15cf67eff96f86d39a.json') diff --git a/site/datasets/citations/9e5378e7b336c89735d3bb15cf67eff96f86d39a.json b/site/datasets/citations/9e5378e7b336c89735d3bb15cf67eff96f86d39a.json new file mode 100644 index 00000000..0c04a612 --- /dev/null +++ b/site/datasets/citations/9e5378e7b336c89735d3bb15cf67eff96f86d39a.json @@ -0,0 +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": "", "address_type": "", "lat": "", "lng": "", "pdf_link": {"url": "https://arxiv.org/pdf/1703.06283.pdf", "linkType": "arxiv"}, "report_link": "papers/9e5378e7b336c89735d3bb15cf67eff96f86d39a.html", "citation_count": 12, "citations_geocoded": 1, "citations_unknown": 11, "citations_empty": 1, "citations_pdf": 10, "citations_doi": 0, "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", ""]]} \ No newline at end of file -- cgit v1.2.3-70-g09d2