Document Analysis and Recognition – ICDAR 2021
Springer International Publishing
Chapter title |
Document Domain Randomization for Deep Learning Document Layout Extraction
|
---|---|
Book title |
Document Analysis and Recognition – ICDAR 2021
|
Published in |
arXiv, September 2021
|
DOI | 10.1007/978-3-030-86549-8_32 |
Book ISBNs |
978-3-03-086548-1, 978-3-03-086549-8
|
Authors |
Ling, Meng, Chen, Jian, Möller, Torsten, Isenberg, Petra, Isenberg, Tobias, Sedlmair, Michael, Laramee, Robert S., Shen, Han-Wei, Wu, Jian, Giles, C. Lee, Meng Ling, Jian Chen, Torsten Möller, Petra Isenberg, Tobias Isenberg, Michael Sedlmair, Robert S. Laramee, Han-Wei Shen, Jian Wu, C. Lee Giles |
Country | Count | As % |
---|---|---|
United States | 2 | 100% |
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 17% |
Librarian | 1 | 8% |
Student > Ph. D. Student | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Researcher | 1 | 8% |
Other | 1 | 8% |
Unknown | 5 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 42% |
Agricultural and Biological Sciences | 1 | 8% |
Engineering | 1 | 8% |
Unknown | 5 | 42% |