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Specificity-preserving RGB-D saliency detection

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Bibliographic Details
Main Authors: Tao, Zhou, Deng-Ping, Fan, Geng, Chen
Format: Book
Language:English
Published: Springer 2023
Subjects:
SOD
RGB
Online Access:https://link.springer.com/article/10.1007/s41095-022-0268-6
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7314
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spelling oai:localhost:PNK-73142023-03-30T02:51:02Z Specificity-preserving RGB-D saliency detection Tao, Zhou Deng-Ping, Fan Geng, Chen SOD RGB CC BY Salient object detection (SOD) in RGB and depth images has attracted increasing research interest. Existing RGB-D SOD models usually adopt fusion strategies to learn a shared representation from RGB and depth modalities, while few methods explicitly consider how to preserve modality-specific characteristics. In this study, we propose a novel framework, the specificity-preserving network (SPNet), which improves SOD performance by exploring both the shared information and modality-specific properties. 2023-03-30T02:51:02Z 2023-03-30T02:51:02Z 2023 Book https://link.springer.com/article/10.1007/s41095-022-0268-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7314 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic SOD
RGB
spellingShingle SOD
RGB
Tao, Zhou
Deng-Ping, Fan
Geng, Chen
Specificity-preserving RGB-D saliency detection
description CC BY
format Book
author Tao, Zhou
Deng-Ping, Fan
Geng, Chen
author_facet Tao, Zhou
Deng-Ping, Fan
Geng, Chen
author_sort Tao, Zhou
title Specificity-preserving RGB-D saliency detection
title_short Specificity-preserving RGB-D saliency detection
title_full Specificity-preserving RGB-D saliency detection
title_fullStr Specificity-preserving RGB-D saliency detection
title_full_unstemmed Specificity-preserving RGB-D saliency detection
title_sort specificity-preserving rgb-d saliency detection
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s41095-022-0268-6
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7314
_version_ 1761821912332238848
score 8.881002

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