id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_5vu2ans45reafh533e2ndlivki	Kerang Cao	Deep Learning for Facial Beauty Prediction	2020	12	.pdf	application/pdf	6347	747	61	attention (SCA) block to distribute the importance among features, which finds a better representation Experimental results show our proposed network can predict facial beauty Keywords: deep learning; facial beauty prediction; convolutional neural network The revival of deep learning methods, especially, convolutional neural networks (CNNs), and wider design for better feature exploration and network performance. network designs for better performance on different tasks, which lead to a blossom of deep learning. Besides effective network designs, some works focus on the inherent correlations of features. Experimental results show that our network holds a better performance than other CNN-based • We propose a network for the facial beauty prediction (FBP) problem. designs for better performances, composed of wider or deeper networks with elaborate and fancy RIRGs are devised from the perspective that a deeper network will lead to better performance. Face image recognition based on convolutional neural network.	./cache/work_5vu2ans45reafh533e2ndlivki.pdf	./txt/work_5vu2ans45reafh533e2ndlivki.txt