VSR: A Unified Framework for Document Layout Analysis Combining Vision, Semantics and Relations

Peng Zhang, Can Li, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu 0001. VSR: A Unified Framework for Document Layout Analysis Combining Vision, Semantics and Relations. In Josep Lladós 0001, Daniel Lopresti, Seiichi Uchida, editors, 16th International Conference on Document Analysis and Recognition, ICDAR 2021, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I. Volume 12821 of Lecture Notes in Computer Science, pages 115-130, Springer, 2021. [doi]

@inproceedings{ZhangLQCPN021,
  title = {VSR: A Unified Framework for Document Layout Analysis Combining Vision, Semantics and Relations},
  author = {Peng Zhang and Can Li and Liang Qiao and Zhanzhan Cheng and Shiliang Pu and Yi Niu and Fei Wu 0001},
  year = {2021},
  doi = {10.1007/978-3-030-86549-8_8},
  url = {https://doi.org/10.1007/978-3-030-86549-8_8},
  researchr = {https://researchr.org/publication/ZhangLQCPN021},
  cites = {0},
  citedby = {0},
  pages = {115-130},
  booktitle = {16th International Conference on Document Analysis and Recognition, ICDAR 2021, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I},
  editor = {Josep Lladós 0001 and Daniel Lopresti and Seiichi Uchida},
  volume = {12821},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86549-8},
}