id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_e2z3bbfbmvbzjjspphct63bhsa	Bashir Muftah Ghariba	A novel fully convolutional network for visual saliency prediction	2020	20	.pdf	application/pdf	7839	871	59	deep learning model based on a Fully Convolutional Network (FCN) architecture. The proposed model is trained in an end-to-end style and designed to predict visual A novel fully convolutional network for visual saliency prediction. (1) A new model of FCN architecture for visual saliency prediction that uses two types Subsequently, many models have been proposed to address visual saliency detection Since the superior success of transfer learning models for visual saliency prediction has Figure 1 explains the architecture of the proposed model for visual saliency prediction Figure 1 illustrates the proposed model architecture to predict visual one can see the proposed model has the ability to predict visual saliency in a given image. To evaluate the efficiency of the proposed model for predicting visual saliency, we is that the proposed model was specifically designed for saliency prediction, whereas A new deep CNN model has been proposed in this paper for predicting visual saliency	./cache/work_e2z3bbfbmvbzjjspphct63bhsa.pdf	./txt/work_e2z3bbfbmvbzjjspphct63bhsa.txt