no code implementations • 15 Sep 2023 • Rongfang He, Weibin Zhang, Guofang Gao
Fine holes are an important structural component of industrial components, and their inner surface quality is closely related to their function. In order to detect the quality of the inner surface of the fine hole, a special optical measurement system was investigated in this paper.
1 code implementation • 3 Mar 2023 • Shuaiqi Chen, Xiaofen Xing, Weibin Zhang, Weidong Chen, Xiangmin Xu
Self-attention mechanism is applied within windows for capturing temporal important information locally in a fine-grained way.
no code implementations • 2 Feb 2022 • Rongjin Li, Weibin Zhang, Dongpeng Chen
To alleviate the degradation caused by domain mismatch, we propose a new feature-based unsupervised domain adaptation algorithm.
no code implementations • 26 Jan 2022 • Yufei Liu, Rao Ma, HaiHua Xu, Yi He, Zejun Ma, Weibin Zhang
In this paper we propose two novel approaches to estimate the ILM based on Listen-Attend-Spell (LAS) framework.
no code implementations • 1 May 2020 • Baiji Liu, Songjun Cao, Sining Sun, Weibin Zhang, Long Ma
Experiments on AISHELL-1 data show that the proposed model, along with the training strategies, improve the character error rate (CER) of MoChA from 8. 96% to 7. 68% on test set.
no code implementations • 22 Feb 2020 • Jun Li, Zhichao Xing, Weibin Zhang, Yan Lin, Feng Shu
Vehicle tracking has become one of the key applications of wireless sensor networks (WSNs) in the fields of rescue, surveillance, traffic monitoring, etc.
no code implementations • 26 Jun 2019 • Zhenchuan Yang, Chun Zhang, Weibin Zhang, Jianxiu Jin, Dongpeng Chen
When the student model is trained together with the correct labels and the essence knowledge from the teacher model, it not only significantly outperforms another single model with the same architecture that is trained only with the correct labels, but also consistently outperforms the teacher model that is used to generate the soft labels.