Curved Text Detection
9 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Curved Text Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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SCUT-CTW1500
UrduDoc
Latest papers
Moving Object Detection for Event-based vision using Graph Spectral Clustering
However, these advantages come at a high cost, as the event camera data typically contains more noise and has low resolution.
MTRNet: A Generic Scene Text Eraser
neouyghur/One-stage-Mask-based-Scene-Text-Eraser
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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.
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
open-mmlab/mmocr
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ECCV 2018
Driven by deep neural networks and large scale datasets, scene text detection methods have progressed substantially over the past years, continuously refreshing the performance records on various standard benchmarks.
Shape Robust Text Detection with Progressive Scale Expansion Network
whai362/PSENet
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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.
Sliding Line Point Regression for Shape Robust Scene Text Detection
Shualite/UBNet
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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.
Detecting Curve Text in the Wild: New Dataset and New Solution
Yuliang-Liu/Curve-Text-Detector
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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).
Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition
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.
EAST: An Efficient and Accurate Scene Text Detector
PaddlePaddle/PaddleOCR
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CVPR 2017
Previous approaches for scene text detection have already achieved promising performances across various benchmarks.
Detecting Oriented Text in Natural Images by Linking Segments
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.
