From 93b3392d9346226c328ea2a878ff968d0303f826 Mon Sep 17 00:00:00 2001 From: "jules@lens" Date: Wed, 31 Oct 2018 02:14:14 +0100 Subject: data --- ...eal and apparent age from a single image without facial landmarks.csv | 1 + 1 file changed, 1 insertion(+) create mode 100644 datasets/scholar/entries/Deep expectation of real and apparent age from a single image without facial landmarks.csv (limited to 'datasets/scholar/entries/Deep expectation of real and apparent age from a single image without facial landmarks.csv') diff --git a/datasets/scholar/entries/Deep expectation of real and apparent age from a single image without facial landmarks.csv b/datasets/scholar/entries/Deep expectation of real and apparent age from a single image without facial landmarks.csv new file mode 100644 index 00000000..ed47fdef --- /dev/null +++ b/datasets/scholar/entries/Deep expectation of real and apparent age from a single image without facial landmarks.csv @@ -0,0 +1 @@ +Deep expectation of real and apparent age from a single image without facial landmarks|http://scholar.google.com/https://link.springer.com/article/10.1007/s11263-016-0940-3|2018|135|7|11164967779616636427|None|http://scholar.google.com/scholar?cites=11164967779616636427&as_sdt=2005&sciodt=0,5&hl=en|http://scholar.google.com/scholar?cluster=11164967779616636427&hl=en&as_sdt=0,5|None|In this paper we propose a deep learning solution to age estimation from a single face image without the use of facial landmarks and introduce the IMDB-WIKI dataset, the largest public dataset of face images with age and gender labels. If the real age estimation research spans over decades, the study of apparent age estimation or the age as perceived by other humans from a face image is a recent endeavor. We tackle both tasks with our convolutional neural networks (CNNs) of VGG-16 architecture which are pre-trained on ImageNet for … -- cgit v1.2.3-70-g09d2