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Published in 2022 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-021-10091-3
Abstract: Many computer vision-based techniques utilize semantic information i.e. scene text present in a natural scene for image analysis. Subsequently, in recent times researchers pay more attention to key tasks such as scene text detection, recognition,…
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Keywords:
scene;
scene text;
detection recognition;
text detection ... See more keywords
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Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1338-4
Abstract: Text detection & localization plays an essential role in finding the textual information from natural scene images that can be used in robot navigation, license plate detection, and wearable applications. In this work, we present…
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Keywords:
text awareness;
text;
detection localization;
text detection ... See more keywords
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1
Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2908933
Abstract: Scene text detection is to detect the position of a text in the natural scene, the quality of which will directly affect the subsequent text recognition. It plays an important role in fields such as…
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Keywords:
scene text;
text;
text detection;
scene ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3063184
Abstract: Deep learning text detection is generally divided into two steps: prediction candidate box of depth model and post-processing, and post-processing usually uses NMS or prediction box to merge and connect. At present, many methods of…
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Keywords:
post processing;
box;
method;
text detection ... See more keywords
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Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3175667
Abstract: Recent scene text detection methods have made great progress. However, existing methods rely heavily on extensive labeled data, which is very time-consuming and expensive. In this letter, we propose a novel semi-supervised text detection method…
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Keywords:
accurate pseudo;
semi supervised;
pseudo labels;
pseudo ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3167022
Abstract: Scene text detection network, such as Connectionist Text Proposal Network (CTPN), takes CNN-RNN hybrid neural network as the main body, which can effectively recognize the text arranged horizontally in the image. However, complex structures and…
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Keywords:
system;
cpu;
network;
scene text ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3092713
Abstract: Due to the proliferation of sports-related multimedia content on the WWW, effective visual search and retrieval present interesting research challenges. These are caused by poor image quality, a wide range of possible camera points of…
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Keywords:
bodies sports;
human bodies;
detection;
sports images ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3197987
Abstract: Scene text detection is an important and challenging task in computer vision. For detecting arbitrarily-shaped texts, most existing methods require heavy data labeling efforts to produce polygon-level text region labels for supervised training. In order…
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Keywords:
mixed supervised;
text detection;
scene text;
scene ... See more keywords
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Published in 2018 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2017.2749977
Abstract: Text detection in complex background images is a challenging task for intelligent vehicles. Actually, almost all the widely-used systems focus on commonly used languages while for some minority languages, such as the Uyghur language, text…
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Keywords:
detection;
background images;
language text;
complex background ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3073575
Abstract: Scene text detection has attracted increasing concerns with the rapid development of deep neural networks in recent years. However, existing scene text detectors may overfit on the public datasets due to the limited training data,…
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Keywords:
scene text;
shape;
shape scene;
text detection ... See more keywords
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1
Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3152596
Abstract: Segmentation-based methods have achieved great success for arbitrary shape text detection. However, separating neighboring text instances is still one of the most challenging problems due to the complexity of texts in scene images. In this…
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Keywords:
text detection;
shape text;
arbitrary shape;
text ... See more keywords