Consistent Features From Varied Contexts and Ordered Multiple Attention Forms for RGB-D Salient Object Detection-Reference-Cited by-同舟云学术

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Consistent Features From Varied Contexts and Ordered Multiple Attention Forms for RGB-D Salient Object Detection

Published:2024-08-15 Issue:16 Volume:24 Page:25879-25890
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Bhuyan Sudipta¹^ORCID,Verma Ashish²^ORCID,Sen Debashis²^ORCID,Deb Sankha¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Advanced Technology Development Centre, Indian Institute of Technology at Kharagpur, Kharagpur, West Bengal, India

2. Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology at Kharagpur, Kharagpur, West Bengal, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10637303/10551710.pdf?arnumber=10551710

Reference74 articles.

1. Multiscale Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images

2. Salient Feature Pyramid Network for Ship Detection in SAR Images

3. A Flying Tool for Sensing Vessel Structure Defects Using Image Contrast-Based Saliency

4. ID-YOLO: Real-Time Salient Object Detection Based on the Driver’s Fixation Region

5. Attention-SLAM: A Visual Monocular SLAM Learning From Human Gaze

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