Incorporating fuzzy-based methods to deep learning models for semantic segmentation

Incorporating fuzzy-based methods to deep learning models for semantic segmentation

This thesis focuses on improving the workflow of semantic segmentation through a combination of reducing model complexity, improving segmentation accuracy, and making semantic segmentation results more reliable and robust. Semantic segmentation refers to pixel-level classification, the objective of...

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Bibliographic Details
Main Author: Lin, Qiao
Format: Thesis (University of Nottingham only)
Language:English
Published: 2023
Subjects:
Deep learning models; semantic segmentation; fuzzy-based techniques; workflow; OWA; ground truth images;
Online Access:https://eprints.nottingham.ac.uk/76705/

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