Deep Salient Object Detection by Integrating Multi-level Cues

  title={Deep Salient Object Detection by Integrating Multi-level Cues},
  author={Jing Zhang and Yuchao Dai and Fatih Murat Porikli},
  journal={2017 IEEE Winter Conference on Applications of Computer Vision (WACV)},
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… CONTINUE READING