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diff --git a/scraper/datasets/scholar/entries/Deep expectation of real and apparent age from a single image without facial landmarks.csv b/scraper/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/scraper/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 … |