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SALYPATH: A Deep-Based Architecture for visual attention prediction [article]

Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Rachid Harba
2021 arXiv   pre-print
In this paper, we propose an end-to-end deep-based method, so-called SALYPATH (SALiencY and scanPATH), that efficiently predicts the scanpath of an image through features of a saliency model.  ...  The idea is predict the scanpath by exploiting the capacity of a deep-based model to predict the saliency. The proposed method was evaluated through 2 well-known datasets.  ...  Saliency Prediction In order to predict the scanpath of a given image, we design a deep-based saliency model.  ... 
arXiv:2107.00559v1 fatcat:edspx6qbjbesfav3rvs544wab4

A Simple and efficient deep Scanpath Prediction [article]

Mohamed Amine Kerkouri, Aladine Chetouani
2021 arXiv   pre-print
Visual scanpath is the sequence of fixation points that the human gaze travels while observing an image, and its prediction helps in modeling the visual attention of an image.  ...  Here, we explore the efficiency of using common deep learning architectures, in a simple fully convolutional regressive manner.  ...  A Deep-Based Architecture For Visual Attention Prediction,” 2021 Proceedings of IEEE Conference on Computer Vision and Pattern IEEE International Conference on Image Processing (ICIP  ... 
arXiv:2112.04610v1 fatcat:xc7qlk4odjc6fnjvg7dgsqxzbu