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| Name: 'Text OCR' | |
| Paper: | |
| Title: 'TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text' | |
| URL: https://openaccess.thecvf.com/content/CVPR2021/papers/Singh_TextOCR_Towards_Large-Scale_End-to-End_Reasoning_for_Arbitrary-Shaped_Scene_Text_CVPR_2021_paper.pdf | |
| Venue: CVPR | |
| Year: '2021' | |
| BibTeX: '@inproceedings{singh2021textocr, | |
| title={{TextOCR}: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text}, | |
| author={Singh, Amanpreet and Pang, Guan and Toh, Mandy and Huang, Jing and Galuba, Wojciech and Hassner, Tal}, | |
| journal={The Conference on Computer Vision and Pattern Recognition}, | |
| year={2021}}' | |
| Data: | |
| Website: https://paperswithcode.com/dataset/textocr | |
| Language: | |
| - English | |
| Scene: | |
| - Natural Scene | |
| Granularity: | |
| - Word | |
| Tasks: | |
| - textdet | |
| - textrecog | |
| - textspotting | |
| License: | |
| Type: CC BY 4.0 | |
| Link: https://creativecommons.org/licenses/by/4.0/ | |
| Format: .json | |