Item Infomation
Title: |
Specificity-preserving RGB-D saliency detection |
Authors: |
Tao, Zhou Deng-Ping, Fan Geng, Chen |
Issue Date: |
2023 |
Publisher: |
Springer |
Abstract: |
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. |
Description: |
CC BY |
URI: |
https://link.springer.com/article/10.1007/s41095-022-0268-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7314 |
Appears in Collections |
OER - Công nghệ thông tin |
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