no code implementations • 28 Dec 2024 • Xiaoyi Wang, Chenxi Fu, Caimei Yang, Ziman Zhuang
However, by observing children's acquisition of tail recursion sequences, we can verify the nativism of language supported by universal grammar and reveal the cognitive mechanism of human brain.
no code implementations • 21 Dec 2024 • Chenxi Fu, Xiaoyi Wang, Zaijiang Man, Caimei Yang
As recursion has been underlying any linguistic work for the last 60 years, the acquisition of recursive structures by children during language learning has become a focal point of inquiry.
no code implementations • 11 Sep 2024 • Boming Miao, Chunxiao Li, Yao Zhu, Weixiang Sun, Zizhe Wang, Xiaoyi Wang, Chuanlong Xie
With the rapid development of deep learning, object detectors have demonstrated impressive performance; however, vulnerabilities still exist in certain scenarios.
no code implementations • 6 Jun 2024 • Caimei Yang, Qihang Yang, Xingzhi Su, Chenxi Fu, Xiaoyi Wang, Ying Yan, Zaijiang Man
There have been apparently conflicting claims over the syntax-semantics relationship in child acquisition.
no code implementations • 28 Jul 2022 • Qinghua Huang, Lizhi Jia, Guanqing Ren, Xiaoyi Wang, Chunying Liu
Segmentation errors occur in discontinuous vascular wall boundaries and dark boundaries.
1 code implementation • 7 Apr 2021 • Ao Zhou, Jianlei Yang, Yeqi Gao, Tong Qiao, Yingjie Qi, Xiaoyi Wang, Yunli Chen, Pengcheng Dai, Weisheng Zhao, Chunming Hu
Graph neural networks (GNN) have achieved state-of-the-art performance on various industrial tasks.
no code implementations • 28 Dec 2020 • Zhen Li, Sunzeng Cai, Xiaoyi Wang, Zhe Liu, Nian Xue
Multiple Object Tracking (MOT) has been a useful yet challenging task in many real-world applications such as video surveillance, intelligent retail, and smart city.
no code implementations • 21 Mar 2020 • Dingcheng Yang, Wenjian Yu, Ao Zhou, Haoyuan Mu, Gary Yao, Xiaoyi Wang
In this work, we propose an effective scheme (called DP-Net) for compressing the deep neural networks (DNNs).