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Recent advances in salient object detection have exploited the deep Convolutional Neural Network (CNN) to represent high-level semantic, however, due to the presence of convolutional and pooling layers, it is difficult for CNN to generate saliency map with sharp boundaries. In this paper, we propose multi-scale mask-based Fast R-CNN framework which generate saliency score of each region. Since the...
In this study, we try to find a method to investigate the relationship between stair's slope and ascent/descent gaits in stairs. With the method, we can speculate the stair slope of a particular stair from a subject's gait so that we can use it to be an initial parameter for estimating the vertical distance the subject has climbed. In this way, this study could provide a practical method to realize...
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