Capitalizing deep neural network with multifaceted semantic image segmentation integration methodology

The domain of unsupervised adaptation has always posed an intricate problem for the field of semantic image segmentation. The lack of information to predict each pixel has led to current research implementing the novelty of deep neural network applications to handle this issue. However, these method...

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Main Author: Tang, Alvin Kai Wen
Other Authors: Lu Shijian
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/162227
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1622272022-10-10T08:20:20Z Capitalizing deep neural network with multifaceted semantic image segmentation integration methodology Tang, Alvin Kai Wen Lu Shijian School of Computer Science and Engineering Shijian.Lu@ntu.edu.sg Engineering::Computer science and engineering The domain of unsupervised adaptation has always posed an intricate problem for the field of semantic image segmentation. The lack of information to predict each pixel has led to current research implementing the novelty of deep neural network applications to handle this issue. However, these methodologies are usually unimodal which, with proper integration strategies, form a deep multifaceted methodology that could achieve a better result. Thus, this paper has presented various unimodal along with conventional segmentation techniques that do not utilize the deep neural network. After which, the main methodology investigated possible integration techniques which encompassed early, late, and hybrid integration. A structured framework formulated from relevant datasets and performance benchmarks has been utilized to properly evaluate the results obtained. Limitations faced and a comprehensive evaluation of integration methodologies were discussed afterward to provide holistic insights as to when and how to utilize this integration methodology. Bachelor of Engineering (Computer Science) 2022-10-10T08:20:20Z 2022-10-10T08:20:20Z 2022 Final Year Project (FYP) Tang, A. K. W. (2022). Capitalizing deep neural network with multifaceted semantic image segmentation integration methodology. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162227 https://hdl.handle.net/10356/162227 en SCSE21-0656 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
Tang, Alvin Kai Wen
Capitalizing deep neural network with multifaceted semantic image segmentation integration methodology
description The domain of unsupervised adaptation has always posed an intricate problem for the field of semantic image segmentation. The lack of information to predict each pixel has led to current research implementing the novelty of deep neural network applications to handle this issue. However, these methodologies are usually unimodal which, with proper integration strategies, form a deep multifaceted methodology that could achieve a better result. Thus, this paper has presented various unimodal along with conventional segmentation techniques that do not utilize the deep neural network. After which, the main methodology investigated possible integration techniques which encompassed early, late, and hybrid integration. A structured framework formulated from relevant datasets and performance benchmarks has been utilized to properly evaluate the results obtained. Limitations faced and a comprehensive evaluation of integration methodologies were discussed afterward to provide holistic insights as to when and how to utilize this integration methodology.
author2 Lu Shijian
author_facet Lu Shijian
Tang, Alvin Kai Wen
format Final Year Project
author Tang, Alvin Kai Wen
author_sort Tang, Alvin Kai Wen
title Capitalizing deep neural network with multifaceted semantic image segmentation integration methodology
title_short Capitalizing deep neural network with multifaceted semantic image segmentation integration methodology
title_full Capitalizing deep neural network with multifaceted semantic image segmentation integration methodology
title_fullStr Capitalizing deep neural network with multifaceted semantic image segmentation integration methodology
title_full_unstemmed Capitalizing deep neural network with multifaceted semantic image segmentation integration methodology
title_sort capitalizing deep neural network with multifaceted semantic image segmentation integration methodology
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/162227
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