Text Detection
191 papers with code • 1 benchmarks • 1 datasets
Detecting the text in the image and localise it using a bounding box. The text can be in any shape and size. We need to localise all such instances of text in the entire image along with bounding box for each word.
Benchmarks
These leaderboards are used to track progress in Text Detection
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Libraries
Use these libraries to find Text Detection models and implementations
UrduDoc
Most implemented papers
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.
Shape Robust Text Detection with Progressive Scale Expansion Network
PaddlePaddle/PaddleOCR
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CVPR 2019
Due to the fact that there are large geometrical margins among the minimal scale kernels, our method is effective to split the close text instances, making it easier to use segmentation-based methods to detect arbitrary-shaped text instances.
Character Region Awareness for Text Detection
JaidedAI/EasyOCR
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CVPR 2019
Scene text detection methods based on neural networks have emerged recently and have shown promising results.
Real-time Scene Text Detection with Differentiable Binarization
MhLiao/DB
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Recently, segmentation-based methods are quite popular in scene text detection, as the segmentation results can more accurately describe scene text of various shapes such as curve text.
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
aim-uofa/AdelaiDet
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CVPR 2020
Our contributions are three-fold: 1) For the first time, we adaptively fit arbitrarily-shaped text by a parameterized Bezier curve.
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.
Fourier Contour Embedding for Arbitrary-Shaped Text Detection
PaddlePaddle/PaddleOCR
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CVPR 2021 2021
One of the main challenges for arbitrary-shaped text detection is to design a good text instance representation that allows networks to learn diverse text geometry variances.
FOTS: Fast Oriented Text Spotting with a Unified Network
jiangxiluning/FOTS.PyTorch
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CVPR 2018
Incidental scene text spotting is considered one of the most difficult and valuable challenges in the document analysis community.
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.
Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
whai362/pan_pp.pytorch
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ICCV 2019
Recently, some methods have been proposed to tackle arbitrary-shaped text detection, but they rarely take the speed of the entire pipeline into consideration, which may fall short in practical applications. In this paper, we propose an efficient and accurate arbitrary-shaped text detector, termed Pixel Aggregation Network (PAN), which is equipped with a low computational-cost segmentation head and a learnable post-processing.
