BOOK-CHAPTER

Efficient Depth-Included Residual Refinement Network for RGB-D Saliency Detection

Jinhao YuGuoliang YanXiuqi XuJian WangShuhan ChenXuelong Hu

Year: 2021 Lecture notes in computer science Pages: 3-14   Publisher: Springer Science+Business Media
Keywords:
Computer science RGB color model Residual Artificial intelligence Redundancy (engineering) Salient Computer vision Pattern recognition (psychology) Feature (linguistics) Filter (signal processing) Algorithm

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
39
Refs
0.23
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Visual Attention and Saliency Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Deep RGB-D Saliency Detection Without Depth

Yuanfang ZhangJiangbin ZhengWenjing JiaWenfeng HuangLong LiNian LiuFei LiXiangjian He

Journal:   IEEE Transactions on Multimedia Year: 2021 Vol: 24 Pages: 755-767
JOURNAL ARTICLE

RGB-‘D’ Saliency Detection With Pseudo Depth

Xiaolin XiaoYicong ZhouYue‐Jiao Gong

Journal:   IEEE Transactions on Image Processing Year: 2018 Vol: 28 (5)Pages: 2126-2139
JOURNAL ARTICLE

Depth-aware inverted refinement network for RGB-D salient object detection

Lina GaoBing LiuPing FuMingzhu Xu

Journal:   Neurocomputing Year: 2022 Vol: 518 Pages: 507-522
© 2026 ScienceGate Book Chapters — All rights reserved.