Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
International Journal of Advanced Network, Monitoring and Controls
Volume 6 (2021): Issue 3 (January 2021)
Open Access
SIS-CNN: Semantic Image Segmentation Using Convolutional Neural Networks
Muhammad Adeel Ahmed Tahir
Muhammad Adeel Ahmed Tahir
,
Xiao Feng
Xiao Feng
and
Zaryab Shaker
Zaryab Shaker
| Feb 22, 2021
International Journal of Advanced Network, Monitoring and Controls
Volume 6 (2021): Issue 3 (January 2021)
About this article
Previous Article
Next Article
Abstract
Article
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Feb 22, 2021
Page range:
9 - 17
DOI:
https://doi.org/10.21307/ijanmc-2021-022
Keywords
Semantic Segmentation
,
Computer Vision
,
Scene Understanding
,
Classification Model
,
Segmentation Model
© 2021 Muhammad Adeel Ahmed Tahir et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.
Semantic Image Segmentation
Figure 2.
An encoder-decoder based CNN architecture with different combinations of different models for semantic segmentation.