no code implementations • 19 Nov 2023 • Chengrui Gao, Ziyuan Yang, Min Zhu, Andrew Beng Jin Teoh
This paper proposes a scale-aware competitive network (SAC-Net), which includes the Inner-Scale Competition Module (ISCM) and the Across-Scale Competition Module (ASCM) to capture texture characteristics related to orientation and scale.
1 code implementation • 27 Aug 2023 • Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian
Machine learning has been adapted to help solve NP-hard combinatorial optimization problems.
no code implementations • 6 Jul 2023 • Junlong Cheng, Chengrui Gao, Fengjie Wang, Min Zhu
Recently, U-shaped networks have dominated the field of medical image segmentation due to their simple and easily tuned structure.
no code implementations • 27 Oct 2021 • Junlong Cheng, Chengrui Gao, Hongchun Lu, Zhangqiang Ming, Yong Yang, Min Zhu
In recent years, segmentation methods based on deep convolutional neural networks (CNNs) have made state-of-the-art achievements for many medical analysis tasks.
no code implementations • 10 Oct 2021 • Zhangqiang Ming, Min Zhu, Xiangkun Wang, Jiamin Zhu, Junlong Cheng, Chengrui Gao, Yong Yang, XiaoYong Wei
In recent years, with the increasing demand for public safety and the rapid development of intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot research topics in the computer vision field.