Deep learning for texture recognition: from streamlined architecture to multimodal extensions
Texture serves as a crucial visual cue for various applications, ranging from identifying materials and spotting industrial defects to classifying terrains. Accordingly, texture recognition has long been a focus within the computer vision community. Traditional methods in this area primarily focused...
Main Author: | |
---|---|
Other Authors: | |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/179779 |