Unified information fusion network for multi-modal RGB-D and RGB-T salient object detection

• Main Authors: Gao, Wei, Liao, Guibiao, Ma, Siwei, Li, Ge, Liang, Yongsheng, Lin, Weisi
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2021
• 主題: Engineering::Computer science and engineering; Dynamic Cross-Modal Guided Mechanism; RGBD/RGB-T Multi-Modal Data
• 在線閱讀: https://hdl.handle.net/10356/150772
• 機構: Nanyang Technological University

The use of complementary information, namely depth or thermal information, has shown its benefits to salient object detection (SOD) during recent years. However, the RGB-D or RGB-T SOD problems are currently only solved independently, and most of them directly extract and fuse raw features from...