Feature Enhancement and Multi-scale Cross-Modal Attention for RGB-D Salient Object Detection

Xin Wan; Gang Yang; Boyi Zhou; Chang Liu; Hangxu Wang; Yutao Wang

doi:10.1007/978-3-030-88007-1_34

ScienceGate Book Chapters

BOOK-CHAPTER

Feature Enhancement and Multi-scale Cross-Modal Attention for RGB-D Salient Object Detection

Xin Wan Gang Yang Boyi Zhou Chang Liu Hangxu Wang Yutao Wang

Year: 2021 Lecture notes in computer science Pages: 409-420 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-88007-1_34

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Feature (linguistics) Artificial intelligence RGB color model Modal Pattern recognition (psychology) Feature selection Salient Computer vision Scale (ratio) Object detection

Metrics

Cited By

0.35

FWCI (Field Weighted Citation Impact)

Refs

0.59

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Feature Enhancement and Multi-scale Cross-Modal Attention for RGB-D Salient Object Detection

Metrics

Citation History

Topics

Related Documents

RGB-D Salient Object Detection via Feature Fusion and Multi-scale Enhancement

Attention-guided cross-modal multiple feature aggregation network for RGB-D salient object detection

Cross-modal and multi-level feature refinement network for RGB-D salient object detection

Cross-guided Cross-modal Feature Fusion Network for RGB-D Salient Object Detection

Semantic-Orthogonal Multi-modal Attention Network for RGB-D Salient Object Detection