A Novel Optimized Context-Based Deep Architecture for Scene Parsing

Ranju Mandal, Brijesh Verma, Basim Azam, Henry Selvaraj

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


Determining the optimal parameter values for a scene parsing network architecture is an important task as a network with optimal parameters produces the best performance. A manual selection of parameter values requires expert domain knowledge of the intrinsic structure and extensive trial and error, which does not guarantee optimal results. An automatic search of the optimal parameters is desirable to harness the full potential of a scene parsing framework. The network architecture needs to be evaluated with various combinations for several parameters to achieve optimum performance. We propose a stacked three-level deep context-adaptive end-to-end network. The end-to-end network architecture extracts visual features, and contextual features, and optimally integrates both features in three logical levels for scene parsing. Particle Swarm Optimization (PSO) algorithm has been used to efficiently search for optimal solutions. Using PSO, we set an optimal set of parameters in all three levels to obtain optimum performance. The PSO aims to optimize the network globally by considering all hyperparameters in the network to achieve the best performance.

Original languageEnglish
Title of host publicationNeural Information Processing - 29th International Conference, ICONIP 2022, Proceedings
EditorsMohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages14
ISBN (Print)9789819916443
Publication statusPublished - 2023
Event29th International Conference on Neural Information Processing, ICONIP 2022 - Virtual, Online
Duration: 22 Nov 202226 Nov 2022

Publication series

NameCommunications in Computer and Information Science
Volume1793 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


Conference29th International Conference on Neural Information Processing, ICONIP 2022
CityVirtual, Online


  • Deep Learning
  • Image Parsing
  • PSO
  • Scene Parsing
  • Semantic Segmentation


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