Asymmetric light-aware progressive decoding network for RGB-thermal salient object detection
Shijiazhuang Tiedao University
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Abstract
In recent years, RGB-T salient object detection (SOD) technology has attracted increasing attention. By incorporating thermal images, it can identify salient objects under challenging scenes such as low illumination. However, due to the inherent modality differences between RGB and thermal images, the interaction and fusion of multi-modal features become a critical challenge. To address this challenge, we propose a novel asymmetric light-aware progressive decoding network (ALPD-Net) for RGB-T SOD. Specifically, we develop an asymmetric light-aware interaction (ALI) module that facilitates effective interaction between the two modalities in an asymmetric manner, reducing interference information. In addition,…
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6Topics & keywords
Topics
Keywords
- Decoding methods
- Computer science
- Computer vision
- RGB color model
- Artificial intelligence
- Object detection
- Salient
- Object (grammar)
UN Sustainable Development Goals
- Climate action
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