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Deep salient object detection by integrating multi-level cues

Zhang, Jing; Dai, Yuchao; Porikli, Fatih


A key problem in salient object detection is how to effectively exploit the multi-level saliency cues in a unified and data-driven manner. In this paper, building upon the recent success of deep neural networks, we propose a fully convolutional neural network based approach empowered with multi-level fusion to salient object detection. By integrating saliency cues at different levels through fully convolutional neural networks and multi-level fusion, our approach could effectively exploit both...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Conference paper
Source: Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017
DOI: 10.1109/WACV.2017.8


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