Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing

Basim Azam, Ranju Mandal, Brijesh Verma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Image parsing is among the core tasks in the field of computer vision. The automatic pixel-wise segmentation offers great potential in terms of application adaptability. Traditional convolutional networks have produced better segmentation maps however the research is continued for integration of context information with neural network approaches. In this paper, we propose an image parsing framework that explores the traditional convolutions in fully convolutional networks and learns rich semantic contextual information using the adjacent and spatial modules to generate probability maps. The implicit fusion of the probability maps generated enhances the accuracy of segmentation labels. The proposed framework improves the segmentation accuracy on the CamVid dataset achieving global accuracy of 89.8 %. A comprehensive comparison with state-of-the-art approaches demonstrates that the proposed network exhibits the capability to adapt to the dataset specific information and has the potential to outperform cutting-edge segmentation models.

Original languageEnglish
Title of host publicationDICTA 2021 - 2021 International Conference on Digital Image Computing
Subtitle of host publicationTechniques and Applications
EditorsJun Zhou, Olivier Salvado, Ferdous Sohel, Paulo Vinicius K. Borges, Shilin Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665417099
DOIs
Publication statusPublished - 2021
Event2021 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2021 - Gold Coast, Australia
Duration: 29 Nov 20211 Dec 2021

Publication series

NameDICTA 2021 - 2021 International Conference on Digital Image Computing: Techniques and Applications

Conference

Conference2021 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2021
Country/TerritoryAustralia
CityGold Coast
Period29/11/211/12/21

Keywords

  • Context information
  • Deep learning
  • Image parsing
  • Neural network
  • Semantic segmentation

Fingerprint

Dive into the research topics of 'Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing'. Together they form a unique fingerprint.

Cite this