An improved multi-object instance segmentation based on deep learning
Joint Authors
al-Shudayfat, Nawwaf Farhan Fankur
Uthman, Muhammad Azzam
Talib, Abd Allah Zawawi
Source
Issue
Vol. 49, Issue 2 (30 Apr. 2022), pp.1-15, 15 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2022-04-30
Country of Publication
Kuwait
No. of Pages
15
Main Subjects
Abstract EN
Deep Learning (DL) networks have attracted growing interest and attention by researchers and scholars alike due to the growing importance of detecting and instance segmentation of objects in an image.
In stance segmentation is a critical issue that requires further improvement due to the difficulties in adapting object detection and instance segmentation approaches.
This paper presents an approach that overcome these issues by proposing a new approach based on the recent DL approach in addition to developing an approach for multi-object instance segmentation.
The improved multi-object segmentation approach presented in this paper consists of three stages.
Firstly, it improves the RestNet-101 (Residual Neural Network) backbone by connecting it to the convolution layer for each ResNet block.
Secondly, the local ization of multiple objects is improved by enhancing the Region Proposal Network (RPN), and thirdly, a complex instance segmentation approach is utilized.
The result of this study based on a standard dataset, called the Common Object in Context (COCO) dataset, reveals that the suggested approach compared to other well-known segmentation approaches, has improved the instance segmentation process in terms of precision and training time.
American Psychological Association (APA)
al-Shudayfat, Nawwaf Farhan Fankur& Uthman, Muhammad Azzam& Talib, Abd Allah Zawawi. 2022. An improved multi-object instance segmentation based on deep learning. Kuwait Journal of Science،Vol. 49, no. 2, pp.1-15.
https://search.emarefa.net/detail/BIM-1500277
Modern Language Association (MLA)
al-Shudayfat, Nawwaf Farhan Fankur…[et al.]. An improved multi-object instance segmentation based on deep learning. Kuwait Journal of Science Vol. 49, no. 2 (Apr. 2022), pp.1-15.
https://search.emarefa.net/detail/BIM-1500277
American Medical Association (AMA)
al-Shudayfat, Nawwaf Farhan Fankur& Uthman, Muhammad Azzam& Talib, Abd Allah Zawawi. An improved multi-object instance segmentation based on deep learning. Kuwait Journal of Science. 2022. Vol. 49, no. 2, pp.1-15.
https://search.emarefa.net/detail/BIM-1500277
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 14-15
Record ID
BIM-1500277