From ee3d0d98e19f1d8177d85af1866fd0ee431fe9ea Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Sun, 25 Nov 2018 22:19:15 +0100 Subject: moving stuff --- .../UMDFaces: An Annotated Face Dataset for Training Deep Networks.csv | 1 + 1 file changed, 1 insertion(+) create mode 100644 scraper/datasets/scholar/entries/UMDFaces: An Annotated Face Dataset for Training Deep Networks.csv (limited to 'scraper/datasets/scholar/entries/UMDFaces: An Annotated Face Dataset for Training Deep Networks.csv') diff --git a/scraper/datasets/scholar/entries/UMDFaces: An Annotated Face Dataset for Training Deep Networks.csv b/scraper/datasets/scholar/entries/UMDFaces: An Annotated Face Dataset for Training Deep Networks.csv new file mode 100644 index 00000000..adf44ba7 --- /dev/null +++ b/scraper/datasets/scholar/entries/UMDFaces: An Annotated Face Dataset for Training Deep Networks.csv @@ -0,0 +1 @@ +Umdfaces: An annotated face dataset for training deep networks|http://scholar.google.com/https://ieeexplore.ieee.org/abstract/document/8272731/|2017|35|5|15417824747310072694|None|http://scholar.google.com/scholar?cites=15417824747310072694&as_sdt=2005&sciodt=0,5&hl=en|http://scholar.google.com/scholar?cluster=15417824747310072694&hl=en&as_sdt=0,5|None|Recent progress in face detection (including keypoint detection), and recognition is mainly being driven by (i) deeper convolutional neural network architectures, and (ii) larger datasets. However, most of the large datasets are maintained by private companies and are not publicly available. The academic computer vision community needs larger and more varied datasets to make further progress. In this paper, we introduce a new face dataset, called UMDFaces, which has 367,888 annotated faces of 8,277 subjects. We also introduce … -- cgit v1.2.3-70-g09d2