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Pytorch Implementation of Holistic and Deep Feature Pyramids for Saliency Detection

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Holistic and Deep Feature Pyramids for Saliency Detection

Authors: Shizhou Dong, Zhifan Gao, Shanhui Sun, Xin Wang, Ming Li, Heye Zhang, Guang Yang, Huafeng Liu, and Shuo Li

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Introduction

This is a Tensorflow implementation for a salient object detection approach based on the deep pyramid neural network, as presented in:

S. Dong, Z. Gao, et al., Holistic and Deep Feature Pyramids for Saliency Detection, British Machine Vision Conference, 2018. [Link]

Citation

@inproceedings{SD2018Holistic,
  title={Holistic and Deep Feature Pyramids for Saliency Detection, British Machine Vision Conference},
  author={Shizhou Dong and Zhifan Gao and Shanhui Sun and Xin Wang and Ming Li and Heye Zhang and Guang Yang and Huafeng Liu and Shuo Li},
  booktitle={British Machine Vision Conference},
  year={2018}
}

Requirement:

Tensorflow == 1.4.0

Others:

The code comments and detailed usage will be added in the future.

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Pytorch Implementation of Holistic and Deep Feature Pyramids for Saliency Detection

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