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TMFNet: Three-Input Multilevel Fusion Network for Detecting Salient Objects in RGB-D Images

  • Published:2021 Issue: Volume: Page:1-9
  • ISSN:2471-285X
  • Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
  • language:
  • Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Zhou Wujie,Pan Sijia,Lei Jingsheng,Yu Lu

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Cited by 23 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. A Robust Real-Time Anchor-Free Traffic Sign Detector With One-Level Feature;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-04

2. Multi-Stage Salient Object Detection in 360° Omnidirectional Image Using Complementary Object-Level Semantic Information;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-02

3. Domain Adaptation for In-Air to Underwater Image Enhancement via Deep Learning;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-02

4. Low-Light Salient Object Detection Meets the Small Size;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

5. PV-SSD: A Multi-Modal Point Cloud 3D Object Detector Based on Projection Features and Voxel Features;IEEE Transactions on Emerging Topics in Computational Intelligence;2024
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