no code implementations • 27 May 2024 • Xianfu Cheng, Hang Zhang, Jian Yang, Xiang Li, Weixiao Zhou, Kui Wu, Fei Liu, Wei zhang, Tao Sun, Tongliang Li, Zhoujun Li
In the domain of document AI, semi-structured form parsing plays a crucial role.
no code implementations • 22 May 2024 • Wei zhang, Xianfu Cheng, Yi Zhang, Jian Yang, Hongcheng Guo, Zhoujun Li, Xiaolin Yin, Xiangyuan Guan, Xu Shi, Liangfan Zheng, Bo Zhang
These challenges are two-fold: 1) massive log templates: The performance and efficiency of most existing parsers will be significantly reduced when logs of growing quantities and different lengths; 2) Complex and changeable semantics: Traditional template-matching algorithms cannot accurately match the log templates of complicated industrial logs because they cannot utilize cross-language logs with similar semantics.
1 code implementation • 18 Jan 2024 • Xianfu Cheng, Weixiao Zhou, Xiang Li, Xiaoming Chen, Jian Yang, Tongliang Li, Zhoujun Li
In this work, we propose the VIsion Permutable extractor for fast and efficient scene Text Recognition (VIPTR), which achieves an impressive balance between high performance and rapid inference speeds in the domain of STR.
1 code implementation • 16 Oct 2023 • Weixiao Zhou, Gengyao Li, Xianfu Cheng, Xinnian Liang, Junnan Zhu, FeiFei Zhai, Zhoujun Li
Specifically, we first conduct domain-aware pre-training using large-scale multi-scenario multi-domain dialogue data to enhance the adaptability of our pre-trained model.