no code implementations • 16 Mar 2024 • Xuehao Wang, Feiyang Ye, Yu Zhang
Furthermore, we introduce modified SAM (mSAM) for multi-task learning where we remove the prompt encoder of SAM and use task-specific no mask embeddings and mask decoder for each task.
1 code implementation • 7 Aug 2020 • Xuehao Wang, Shuai Li, Chenglizhao Chen, Aimin Hao, Hong Qin
Previous RGB-D salient object detection (SOD) methods have widely adopted deep learning tools to automatically strike a trade-off between RGB and D (depth), whose key rationale is to take full advantage of their complementary nature, aiming for a much-improved SOD performance than that of using either of them solely.
1 code implementation • 7 Aug 2020 • Xuehao Wang, Shuai Li, Chenglizhao Chen, Yuming Fang, Aimin Hao, Hong Qin
Existing RGB-D salient object detection methods treat depth information as an independent component to complement its RGB part, and widely follow the bi-stream parallel network architecture.