Visual similarity using deep learning

Computer Vision has always been one of the most challenging tasks in Machine Learning field due to the semantic gap between image representation in machines (matrix of pixels) and image perception in human mind. One fundamental task of Computer Vision is to compare images. In this paper, we will...

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Main Author:	Nguyen, Hoang Son
Other Authors:	Pan Jialin, Sinno
Format:	Final Year Project
Language:	English
Published:	2017
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:	http://hdl.handle.net/10356/70173
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-70173
record_format	dspace
spelling	sg-ntu-dr.10356-701732023-03-03T20:28:52Z Visual similarity using deep learning Nguyen, Hoang Son Pan Jialin, Sinno School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Computer Vision has always been one of the most challenging tasks in Machine Learning field due to the semantic gap between image representation in machines (matrix of pixels) and image perception in human mind. One fundamental task of Computer Vision is to compare images. In this paper, we will present an approach to solve this visual similarity task by leveraging Convolutional Neural Network which has gained a significant results recently Bachelor of Engineering (Computer Science) 2017-04-13T08:26:41Z 2017-04-13T08:26:41Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70173 en Nanyang Technological University 44 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Nguyen, Hoang Son Visual similarity using deep learning
description	Computer Vision has always been one of the most challenging tasks in Machine Learning field due to the semantic gap between image representation in machines (matrix of pixels) and image perception in human mind. One fundamental task of Computer Vision is to compare images. In this paper, we will present an approach to solve this visual similarity task by leveraging Convolutional Neural Network which has gained a significant results recently
author2	Pan Jialin, Sinno
author_facet	Pan Jialin, Sinno Nguyen, Hoang Son
format	Final Year Project
author	Nguyen, Hoang Son
author_sort	Nguyen, Hoang Son
title	Visual similarity using deep learning
title_short	Visual similarity using deep learning
title_full	Visual similarity using deep learning
title_fullStr	Visual similarity using deep learning
title_full_unstemmed	Visual similarity using deep learning
title_sort	visual similarity using deep learning
publishDate	2017
url	http://hdl.handle.net/10356/70173
_version_	1759856746545807360

Visual similarity using deep learning

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