A deep multi-level network for saliency prediction

@article{Cornia2016ADM,
  title={A deep multi-level network for saliency prediction},
  author={Marcella Cornia and Lorenzo Baraldi and Giuseppe Serra and Rita Cucchiara},
  journal={2016 23rd International Conference on Pattern Recognition (ICPR)},
  year={2016},
  pages={3488-3493}
}
This paper presents a novel deep architecture for saliency prediction. Current state of the art models for saliency prediction employ Fully Convolutional networks that perform a non-linear combination of features extracted from the last convolutional layer to predict saliency maps. We propose an architecture which, instead, combines features extracted at different levels of a Convolutional Neural Network (CNN). Our model is composed of three main blocks: a feature extraction CNN, a feature… CONTINUE READING
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