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| Name: 'NAF' | |
| Paper: | |
| Title: Deep Visual Template-Free Form Parsing | |
| URL: https://ieeexplore.ieee.org/abstract/document/8977962 | |
| Venue: ICDAR | |
| Year: '2019' | |
| BibTeX: '@inproceedings{davis2019deep, | |
| title={Deep visual template-free form parsing}, | |
| author={Davis, Brian and Morse, Bryan and Cohen, Scott and Price, Brian and Tensmeyer, Chris}, | |
| booktitle={2019 International Conference on Document Analysis and Recognition (ICDAR)}, | |
| pages={134--141}, | |
| year={2019}, | |
| organization={IEEE}}' | |
| Data: | |
| Website: https://github.com/herobd/NAF_dataset | |
| Language: | |
| - English | |
| Scene: | |
| - Document | |
| - Handwritten | |
| Granularity: | |
| - Word | |
| - Line | |
| Tasks: | |
| - textrecog | |
| - textdet | |
| - textspotting | |
| License: | |
| Type: CDLA | |
| Link: https://github.com/herobd/NAF_dataset/blob/master/LICENSE | |
| Format: .json | |