DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

@article{Li2016DeepSaliencyMD,
  title={DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection},
  author={Xi Li and Liming Zhao and Lina Wei and Ming-Hsuan Yang and Fei Wu and Y. Zhuang and Haibin Ling and Jingdong Wang},
  journal={IEEE Transactions on Image Processing},
  year={2016},
  volume={25},
  pages={3919-3930}
}
  • Xi Li, Liming Zhao, +5 authors Jingdong Wang
  • Published 2016
  • Computer Science, Medicine
  • IEEE Transactions on Image Processing
  • A key problem in salient object detection is how to effectively model the semantic properties of salient objects in a data-driven manner. In this paper, we propose a multi-task deep saliency model based on a fully convolutional neural network with global input (whole raw images) and global output (whole saliency maps). In principle, the proposed saliency model takes a data-driven strategy for encoding the underlying saliency prior information, and then sets up a multi-task learning scheme for… CONTINUE READING
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    References

    SHOWING 1-10 OF 64 REFERENCES
    Saliency detection by multi-context deep learning
    • 637
    • PDF
    Visual saliency based on multiscale deep features
    • Guanbin Li, Y. Yu
    • Computer Science
    • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    • 2015
    • 640
    • PDF
    Deep networks for saliency detection via local estimation and global search
    • 437
    • PDF
    Salient Object Detection: A Discriminative Regional Feature Integration Approach
    • 757
    • PDF
    SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks
    • 348
    • PDF
    A unified approach to salient object detection via low rank matrix recovery
    • X. Shen, Y. Wu
    • Mathematics, Computer Science
    • 2012 IEEE Conference on Computer Vision and Pattern Recognition
    • 2012
    • 651
    • Highly Influential
    • PDF
    Fusing generic objectness and visual saliency for salient object detection
    • 342
    • Highly Influential
    • PDF
    Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet
    • 258
    • PDF
    Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
    • 19,594
    • PDF
    Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
    • 2,513
    • PDF