Training deep network models for accurate recognition of texts in scenes

The purpose of this report investigates and implement different state-of-the-art deep learning network models for the recognition of various text in scenes. Furthermore, fine-tuning of parameters and modifying of the model is conducted to investigate the effect and the changes to the accuracy.

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Bibliographic Details
Main Author:	Teo, Zhi Kai
Other Authors:	Lu Shijian
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2022
Subjects:	Engineering::Computer science and engineering
Online Access:	https://hdl.handle.net/10356/157313
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-157313
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spelling	sg-ntu-dr.10356-1573132022-05-13T07:23:55Z Training deep network models for accurate recognition of texts in scenes Teo, Zhi Kai Lu Shijian School of Computer Science and Engineering Shijian.Lu@ntu.edu.sg Engineering::Computer science and engineering The purpose of this report investigates and implement different state-of-the-art deep learning network models for the recognition of various text in scenes. Furthermore, fine-tuning of parameters and modifying of the model is conducted to investigate the effect and the changes to the accuracy. Bachelor of Engineering (Computer Science) 2022-05-13T07:23:55Z 2022-05-13T07:23:55Z 2022 Final Year Project (FYP) Teo, Z. K. (2022). Training deep network models for accurate recognition of texts in scenes. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157313 https://hdl.handle.net/10356/157313 en application/pdf Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Computer science and engineering
spellingShingle	Engineering::Computer science and engineering Teo, Zhi Kai Training deep network models for accurate recognition of texts in scenes
description	The purpose of this report investigates and implement different state-of-the-art deep learning network models for the recognition of various text in scenes. Furthermore, fine-tuning of parameters and modifying of the model is conducted to investigate the effect and the changes to the accuracy.
author2	Lu Shijian
author_facet	Lu Shijian Teo, Zhi Kai
format	Final Year Project
author	Teo, Zhi Kai
author_sort	Teo, Zhi Kai
title	Training deep network models for accurate recognition of texts in scenes
title_short	Training deep network models for accurate recognition of texts in scenes
title_full	Training deep network models for accurate recognition of texts in scenes
title_fullStr	Training deep network models for accurate recognition of texts in scenes
title_full_unstemmed	Training deep network models for accurate recognition of texts in scenes
title_sort	training deep network models for accurate recognition of texts in scenes
publisher	Nanyang Technological University
publishDate	2022
url	https://hdl.handle.net/10356/157313
_version_	1734310143464570880

Training deep network models for accurate recognition of texts in scenes

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