SEE: Towards Semi-Supervised End-to-End Scene Text Recognition

14 December 2017

Papers citing "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

9 / 9 papers shown

Title
Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer Yair Kittenplon I. Lavi Sharon Fogel Yarin Bar R. Manmatha Pietro Perona ViT 18 53 0 11 Feb 2022
Image-free multi-character recognition Huayi Wang Chunli Zhu Liheng Bian 16 6 0 20 Dec 2021
SPTS: Single-Point Text Spotting Dezhi Peng Xinyu Wang Yuliang Liu Jiaxin Zhang Mingxin Huang ... Jing Li Dahua Lin Chunhua Shen Xiang Bai Lianwen Jin ViT 30 63 0 15 Dec 2021
PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition Zhi Qiao Yu Zhou Jin Wei Wei Wang Yuanqing Zhang Ning Jiang Hongbin Wang Weiping Wang 27 70 0 09 Sep 2021
Detection and Rectification of Arbitrary Shaped Scene Texts by using Text Keypoints and Links Chuhui Xue Shijian Lu Guosheng Lin 3DPC 44 17 0 01 Mar 2021
A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video Sauradip Nag P. Shivakumara Umapada Pal Tong Lu Michael Blumenstein 27 14 0 26 May 2020
Text Recognition in the Wild: A Survey Xiaoxue Chen Lianwen Jin Yuanzhi Zhu Canjie Luo Tianwei Wang 3DV 32 103 0 07 May 2020
Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning Yipeng Sun Jiaming Liu Wei Liu Junyu Han Errui Ding Jingtuo Liu 30 50 0 17 Sep 2019
Scene Text Detection and Recognition: The Deep Learning Era Shangbang Long Xin He Cong Yao VLM 44 389 0 10 Nov 2018