no code implementations • 17 Jan 2023 • Jia Li, Shengye Qiao, Zhirui Zhao, Chenxi Xie, Xiaowu Chen, Changqun Xia
To this end, we design a lightweight framework while maintaining satisfying competitive accuracy.
1 code implementation • CVPR 2022 • Chenxi Xie, Changqun Xia, Mingcan Ma, Zhirui Zhao, Xiaowu Chen, Jia Li
An attention-based Cross-Model Grafting Module (CMGM) is proposed to enable CNN branch to combine broken detailed information more holistically, guided by different source feature during decoding process.
Ranked #5 on RGB Salient Object Detection on UHRSD (using extra training data)