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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