Visual search by training efficient and effective deep network models
This paper presents some of the state-of-the-art deep learning and machine learning methods for scene text detection and text recognition. It illustrates the performance and methods used in these novel solutions and analyze them for visual search problem in the area of natural scene text extracti...
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sg-ntu-dr.10356-769792023-03-03T20:46:40Z Visual search by training efficient and effective deep network models Khaing, Phyu Thwe Htet Htet Lu Shijian School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision This paper presents some of the state-of-the-art deep learning and machine learning methods for scene text detection and text recognition. It illustrates the performance and methods used in these novel solutions and analyze them for visual search problem in the area of natural scene text extraction problem. Bachelor of Engineering (Computer Science) 2019-04-28T13:56:03Z 2019-04-28T13:56:03Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/76979 en Nanyang Technological University 33 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Khaing, Phyu Thwe Htet Htet Visual search by training efficient and effective deep network models |
description |
This paper presents some of the state-of-the-art deep learning and machine learning
methods for scene text detection and text recognition. It illustrates the performance and
methods used in these novel solutions and analyze them for visual search problem in the
area of natural scene text extraction problem. |
author2 |
Lu Shijian |
author_facet |
Lu Shijian Khaing, Phyu Thwe Htet Htet |
format |
Final Year Project |
author |
Khaing, Phyu Thwe Htet Htet |
author_sort |
Khaing, Phyu Thwe Htet Htet |
title |
Visual search by training efficient and effective deep network models |
title_short |
Visual search by training efficient and effective deep network models |
title_full |
Visual search by training efficient and effective deep network models |
title_fullStr |
Visual search by training efficient and effective deep network models |
title_full_unstemmed |
Visual search by training efficient and effective deep network models |
title_sort |
visual search by training efficient and effective deep network models |
publishDate |
2019 |
url |
http://hdl.handle.net/10356/76979 |
_version_ |
1759856962372108288 |