A Multi-Scale Colour and Keypoint Density-Based Approach for Visual Saliency Detection-Reference-Cited by-同舟云学术

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A Multi-Scale Colour and Keypoint Density-Based Approach for Visual Saliency Detection

Published:2020 Issue: Volume:8 Page:121330-121343
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bruno Alessandro^ORCID,Gugliuzza Francesco,Pirrone Roberto^ORCID,Ardizzone Edoardo

Funder

OBIND Project

Regione Siciliana

Azione

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09131794.pdf?arnumber=9131794

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. CATNet: A Cascaded and Aggregated Transformer Network for RGB-D Salient Object Detection;IEEE Transactions on Multimedia;2024

2. Point cloud upsampling using deep self-sampling with point saliency;Journal of Mechanical Science and Technology;2023-12

3. Feature aggregation with transformer for RGB-T salient object detection;Neurocomputing;2023-08

4. Multi-source perceptual blind compensation inspection method for substation based on equipment’s visual blind area identification and saliency detection;International Journal of Emerging Electric Power Systems;2023-02-07

5. Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-01-05

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