About this document
Research Gaps by njkumar is a document available to read on EtoBox.
The document outlines twelve research gaps in clustering approaches for image segmentation in construction remodeling, addressing challenges such as real-world variability, scalability, and dynamic changes. It emphasizes the need for robust, multi-modal, and adaptive clustering methods that integrate semantic understanding and uncertainty modeling. Additionally, it highlights the importance of real-world validation, dataset creation, and explainability in improving segmentation outcomes for construction app
- Author
- njkumar
- Language
- EN