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...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/179779 |