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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 | |