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Two Birds With One Stone: A Unified Approach to Saliency and Co-Saliency Detection via Multi-Instance Learning

  • Published:2017 Issue: Volume:5 Page:23519-23531
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Quan Honglin,Feng SongheORCID,Chen Baifan

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Fundamental Research Funds for the Central Universities

Open Research Fund of Key Laboratory of Network Crime Investigation of Hunan Provincial Colleges

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Collaborative Salient Object Detection Using Collaborative Feature Integration and Extraction;2024 12th International Conference on Intelligent Control and Information Processing (ICICIP);2024-03-08

2. A Deep Multiscale Fusion Method via Low-Rank Sparse Decomposition for Object Saliency Detection Based on Urban Data in Optical Remote Sensing Images;Wireless Communications and Mobile Computing;2020-05-08

3. $$\hbox {C}^{2}$$Net: a complementary co-saliency detection network;The Visual Computer;2020-04-25

4. Salient Object Detection Using DenseNet Features;New Trends in Computational Vision and Bio-inspired Computing;2020

5. Improving person re-identification via attribute-identity representation and visual attention mechanism;Multimedia Tools and Applications;2019-12-20
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