From ee3d0d98e19f1d8177d85af1866fd0ee431fe9ea Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Sun, 25 Nov 2018 22:19:15 +0100 Subject: moving stuff --- ...eal and apparent age from a single image without facial landmarks.csv | 1 - 1 file changed, 1 deletion(-) delete 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 deleted file mode 100644 index ed47fdef..00000000 --- a/datasets/scholar/entries/Deep expectation of real and apparent age from a single image without facial landmarks.csv +++ /dev/null @@ -1 +0,0 @@ -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