Weakly supervised salient object detection via double object proposals guidance

Author:

Zhou Zhiheng12,Guo Yongfan12,Dai Ming12,Huang Junchu12,Li Xiangwei3

Affiliation:

1. School of Electronic and Information Engineering South China University of Technology Guangzhou China

2. Key Laboratory of Big Data and Intelligent Robot Ministry of Education South China University of Technology Guangzhou China

3. School of computer & Artificial Intelligence Lanzhou Institute of Technology Lanzhou China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference43 articles.

1. Automatic Foveation for Video Compression Using a Neurobiological Model of Visual Attention

2. Donoser M. et al.:Saliency driven total variation segmentation. In:IEEE 12th International Conference on Computer Vision Kyoto(2009)

3. Rutishauser U. et al.:Is bottom‐up attention useful for object recognition?In:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Washington DC(2004)

4. Chang K.Y. et al.:Fusing generic objectness and visual saliency for salient object detection. In:International Conference on Computer Vision Barcelona(2011)

5. Jiang P. et al.:Salient region detection by ufo: Uniqueness focusness and objectness. In:Proceedings of the IEEE international conference on computer vision Sydney(2013)

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