Tìm kiếm theo: Tác giả Geng, Chen

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  • Tác giả : Tao, Zhou; Deng-Ping, Fan; Geng, Chen;  Người hướng dẫn: -;  Đồng tác giả: - (2023)

    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.