Projects sharing features with Watts

This project hosts the code and dataset for our AAAI 2017 paper pdf

This toolbox contains the implementations of the following papers:

This is the code of "Scene Text Retrieval via Joint Text Detection and Similarity Learning". For more details, please refer to our CVPR2021 paper.

Implementation of 'Scene Text Recognition with Sliding Convolutional Character Models'(pdf)

This is a PyTorch implemntation of the ECCV 2020 paper Mask TextSpotter v3. Mask TextSpotter v3 is an end-to-end trainable scene text spotter that adopts a Segmentation Proposal Network (SPN) instead of an RPN. Mask TextSpotter v3 significantly improves robustness to rotations, aspect ratios,…

The implementation of DeepTextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework : ICCV 2017.

E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text code base for: https://arxiv.org/abs/1801.09919

http://cmp.felk.cvut.cz/~neumalu1/neumann_iccv2015.pdf

Sliding Convolutional Attention Network for Scene Text Recognition

This repository contains the code for the paper Aggregation Cross-Entropy for Sequence Recognition. Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu and Lele Xie. CVPR. 2019. \[Paper\](https://arxiv.org/abs/1904.08364)

This is a pytorch-based implementation for paper Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter.

Official Code for 'C3-STISR: Scene Text Image Super-resolution with Triple Clues'