1 code implementation • 1 Mar 2024 • Yanxiao Zhao, Yangge Qian, Tianyi Wang, Jingyang Shan, Xiaolin Qin
Deep reinforcement learning (DRL) algorithms require substantial samples and computational resources to achieve higher performance, which restricts their practical application and poses challenges for further development.
1 code implementation • 8 Mar 2022 • Yongxiang Gu, Xingbin Liao, Xiaolin Qin
An automatic gun detection system can detect potential gun-related violence at an early stage that is of paramount importance for citizens security.
no code implementations • 30 Jul 2021 • Yongxiang Gu, Qianlei Wang, Xiaolin Qin
Nowadays, plenty of deep learning technologies are being applied to all aspects of autonomous driving with promising results.
no code implementations • 20 May 2021 • Yongxiang Gu, Xiaolin Qin, Yuncong Peng, Lu Li
As one of the prevalent components, Feature Pyramid Network (FPN) is widely used in current object detection models for improving multi-scale object detection performance.
no code implementations • 13 Jul 2018 • Lige Zhang, Xiaolin Qin, Qing Li, Haoyue Peng, Yu Hou
Compared with various schemes, the simulation results of the proposed scheme are better than that of the reference schemes in visual quality and time consumption.