Curved Text Detection

7 papers with code • 1 benchmarks • 1 datasets

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Most implemented papers

EAST: An Efficient and Accurate Scene Text Detector

PaddlePaddle/PaddleOCR CVPR 2017

Previous approaches for scene text detection have already achieved promising performances across various benchmarks.

Shape Robust Text Detection with Progressive Scale Expansion Network

whai362/PSENet 7 Jun 2018

To address these problems, we propose a novel Progressive Scale Expansion Network (PSENet), designed as a segmentation-based detector with multiple predictions for each text instance.

Detecting Oriented Text in Natural Images by Linking Segments

dengdan/seglink CVPR 2017

It achieves an f-measure of 75. 0% on the standard ICDAR 2015 Incidental (Challenge 4) benchmark, outperforming the previous best by a large margin.

Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition

cs-chan/Total-Text-Dataset 28 Oct 2017

Text in curve orientation, despite being one of the common text orientations in real world environment, has close to zero existence in well received scene text datasets such as ICDAR2013 and MSRA-TD500.

Detecting Curve Text in the Wild: New Dataset and New Solution

Yuliang-Liu/Curve-Text-Detector 6 Dec 2017

To raise the concerns of reading curve text in the wild, in this paper, we construct a curve text dataset named CTW1500, which includes over 10k text annotations in 1, 500 images (1000 for training and 500 for testing).

Sliding Line Point Regression for Shape Robust Scene Text Detection

Shualite/UBNet 30 Jan 2018

Specifically, we first generate the smallest rectangular box including the text with region proposal network (RPN), then isometrically regress the points on the edge of text by using the vertically and horizontally sliding lines.

MTRNet: A Generic Scene Text Eraser

neouyghur/One-stage-Mask-based-Scene-Text-Eraser 11 Mar 2019

Developing such a generic text eraser for real scenes is a challenging task, since it inherits all the challenges of multi-lingual and curved text detection and inpainting.