no code implementations • 16 Mar 2023 • Shangfei Wang, Jiaqiang Wu, Feiyi Zheng, Xin Li, XueWei Li, Suwen Wang, Yi Wu, Yanan Chang, Xiangyu Miao
In this paper, 1. better features are extracted with the SOTA pretrained models.
no code implementations • 7 Oct 2022 • XueWei Li, Weilun Zhang, Jie Gao, Xuzhou Fu, Jian Yu
Secondly, the subdomain classifier module based on instance confidence is constructed, which can dynamically divide the target domain into easy and difficult subdomains according to the relative proportion of easy and difficult instances.
no code implementations • 21 Apr 2022 • Peihan Miao, Wei Su, Gaoang Wang, XueWei Li, Xi Li
As an important and challenging problem in vision-language tasks, referring expression comprehension (REC) generally requires a large amount of multi-grained information of visual and linguistic modalities to realize accurate reasoning.
no code implementations • 1 Apr 2022 • Jianrong Wang, Zixuan Wang, Xiaosheng Hu, XueWei Li, Qiang Fang, Li Liu
Experimental results show that the speech synthesized by our model is comparable to the personalized speech synthesized by training a large amount of audio data in previous works.
no code implementations • 25 Jun 2020 • Jiabao Cui, XueWei Li, Bin Li, Hanbin Zhao, Bourahla Omar, Xi Li
In this paper, we propose a novel learning scheme called epoch-evolving Gaussian Process Guided Learning (GPGL), which aims at characterizing the correlation information between the batch-level distribution and the global data distribution.
no code implementations • 17 Jun 2020 • Jianrong Wang, Ge Zhang, Zhen-Yu Wu, XueWei Li, Li Liu
Compared with static views, abundant dynamic properties between video frames are beneficial to refined depth estimation, especially for dynamic objects.
no code implementations • 8 Jun 2020 • Xuewei Li, Songyuan Li, Bourahla Omar, Fei Wu, Xi Li
In this paper, we see knowledge distillation in a fresh light, using the knowledge gap, or the residual, between a teacher and a student as guidance to train a much more lightweight student, called a res-student.
no code implementations • 16 Jul 2018 • Ruiguo Yu, Zhi-Qiang Liu, Xuewei Li, Wenhuan Lu, Mei Yu, Jianrong Wang, Bin Li
There have been a lot of researches based on the time series of the wind power or speed, but In fact, these time series cannot express the temporal and spatial changes of wind, which fundamentally hinders the advance of wind power prediction.