Extracting Key Information from Shopping Receipts by Using Bayesian Deep Learning via Multi-modal Features

Jiaqi Chen, Lujiao Shao, Haibin Zhou, Jianghong Ma, Weizhi Meng 0001, Zenghui Wang, Haijun Zhang 0002. Extracting Key Information from Shopping Receipts by Using Bayesian Deep Learning via Multi-modal Features. In Haijun Zhang 0002, Yuehui Chen, Xianghua Chu, Zhao Zhang 0001, Tianyong Hao, Zhou Wu, Yimin Yang, editors, Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part I. Volume 1637 of Communications in Computer and Information Science, pages 378-393, Springer, 2022. [doi]

@inproceedings{ChenSZMMW022,
  title = {Extracting Key Information from Shopping Receipts by Using Bayesian Deep Learning via Multi-modal Features},
  author = {Jiaqi Chen and Lujiao Shao and Haibin Zhou and Jianghong Ma and Weizhi Meng 0001 and Zenghui Wang and Haijun Zhang 0002},
  year = {2022},
  doi = {10.1007/978-981-19-6142-7_29},
  url = {https://doi.org/10.1007/978-981-19-6142-7_29},
  researchr = {https://researchr.org/publication/ChenSZMMW022},
  cites = {0},
  citedby = {0},
  pages = {378-393},
  booktitle = {Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part I},
  editor = {Haijun Zhang 0002 and Yuehui Chen and Xianghua Chu and Zhao Zhang 0001 and Tianyong Hao and Zhou Wu and Yimin Yang},
  volume = {1637},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-19-6142-7},
}