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Exploiting background divergence and foreground compactness for salient object detection

  • Published:2020-03 Issue: Volume:383 Page:194-211
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Xia Chenxing,Zhang Hanling,Gao Xiuju,Li Keqin

Funder

National Natural Science Foundation of China

Hunan Natural Science Foundation

Science and Technology Key Projects of Hunan province

Natural Science Research Project of Colleges and Universities in Anhui Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Cited by 15 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. JALNet: joint attention learning network for RGB-D salient object detection;International Journal of Computational Science and Engineering;2024

2. IMSFNet: integrated multi-source feature network for salient object detection;Applied Intelligence;2023-06-24

3. GCENet: Global contextual exploration network for RGB-D salient object detection;Journal of Visual Communication and Image Representation;2022-11

4. EFGNet: Encoder steered multi-modality feature guidance network for RGB-D salient object detection;Digital Signal Processing;2022-11

5. PSINet;Proceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis;2022-10-10
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