History

Tong Gao 7571763376 [Refactor] Use MMOCR's registry (#436 ) * [Refactor] Use MMOCR's registry 1. Define MMOCR's registries as a child of MMDet's 2. Register all models to MMOCR's own registries 3. Modify some model configs so that some models in MMDet can be correctly located 4. Remove some outdated demo scripts * add detectors		2021-08-19 19:17:15 +08:00
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README.md	add model for chinese (#156 )	2021-05-09 21:49:08 +08:00
dbnet_r18_fpnc_1200e_icdar2015.py	[Refactor] Use MMOCR's registry (#436 )	2021-08-19 19:17:15 +08:00
dbnet_r50dcnv2_fpnc_1200e_icdar2015.py	[Refactor] Use MMOCR's registry (#436 )	2021-08-19 19:17:15 +08:00
metafile.yml	update metafile (#183 )	2021-05-14 00:17:33 +08:00

README.md

Real-time Scene Text Detection with Differentiable Binarization

Introduction

[ALGORITHM]

@article{Liao_Wan_Yao_Chen_Bai_2020,
    title={Real-Time Scene Text Detection with Differentiable Binarization},
    journal={Proceedings of the AAAI Conference on Artificial Intelligence},
    author={Liao, Minghui and Wan, Zhaoyi and Yao, Cong and Chen, Kai and Bai, Xiang},
    year={2020},
    pages={11474-11481}}

Results and models

ICDAR2015

Method	Pretrained Model	Training set	Test set	#epochs	Test size	Recall	Precision	Hmean	Download
DBNet_r18	ImageNet	ICDAR2015 Train	ICDAR2015 Test	1200	736	0.731	0.871	0.795	model \| log
DBNet_r50dcn	Synthtext	ICDAR2015 Train	ICDAR2015 Test	1200	1024	0.796	0.866	0.830	model \| log