SIS-CNN: Semantic Image Segmentation Using Convolutional Neural Networks

International Journal of Advanced Network, Monitoring, and Controls

article

Muhammad Adeel Ahmed Tahir¹  Xiao Feng¹  Zaryab Shaker¹ 

[1] School of Computer Science and Engineering Xian Technological University Xian

关键词: Semantic Segmentation;    Computer Vision;    Scene Understanding;    Classification Model;    Segmentation Model;   

DOI  :  10.21307/ijanmc-2021-022

学科分类：社会科学、人文和艺术（综合）

来源: Asociación Regional De Diálisis Y Trasplantes Renales

【 摘 要 】

Semantic image segmentation is a vast area of interest for computer vision which has gained exceptional attention from the research community. It is the process of classifying each pixel in respective category. In this paper, we exploit the problem of scene understanding and perform the segmentation by combining different classification models as a feature encoder and segmentation models as a feature decoder. All of the experiments were performed on Camvid dataset. It covers a wide range of real-world applications such as autonomous driving, virtual/augmented reality, indoor navigation, etc.

【 授权许可】

CC BY-NC-ND