An integration of bottom-up and top-down salient cues on RGB-D data: saliency from objectness versus non-objectness

@article{Imamoglu2018AnIO,
  title={An integration of bottom-up and top-down salient cues on RGB-D data: saliency from objectness versus non-objectness},
  author={Nevrez Imamoglu and Wataru Shimoda and Chi Zhang and Yuming Fang and Asako Kanezaki and Keiji Yanai and Yoshifumi Nishida},
  journal={Signal, Image and Video Processing},
  year={2018},
  volume={12},
  pages={307-314}
}
Bottom-up and top-down visual cues are two types of information that helps the visual saliency models. These salient cues can be from spatial distributions of the features (space-based saliency) or contextual/task-dependent features (object-based saliency). Saliency models generally incorporate salient cues either in bottom-up or top-down norm separately. In this work, we combine bottom-up and top-down cues from both space- and object-based salient features on RGB-D data. In addition, we also… 
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