diff options
| author | Jules Laplace <julescarbon@gmail.com> | 2019-02-10 21:53:27 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2019-02-10 21:53:27 +0100 |
| commit | 439d0d5aca826917da5467750fa0f3b9e6ce7402 (patch) | |
| tree | 3aa0061fe18c5695814d3ed220e4ff78ac131699 /site/datasets/citations/precarious.json | |
| parent | a8cd75d12efa52cd83025c4b250d2a7703b7661b (diff) | |
updating citations
Diffstat (limited to 'site/datasets/citations/precarious.json')
| -rw-r--r-- | site/datasets/citations/precarious.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/citations/precarious.json b/site/datasets/citations/precarious.json index 0c04a612..3834f30c 100644 --- a/site/datasets/citations/precarious.json +++ b/site/datasets/citations/precarious.json @@ -1 +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 +{"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": "https://arxiv.org/pdf/1703.06283.pdf", "report_link": "papers/9e5378e7b336c89735d3bb15cf67eff96f86d39a.html", "citation_count": 12, "citations_geocoded": 1, "citations_unknown": 11, "citations_empty": 1, "citations_pdf": 10, "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", "", "2018"]]}
\ No newline at end of file |