Explainable deep learning for image understanding
Yu, Lu (2024) Explainable deep learning for image understanding. PhD thesis, James Cook University.
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Abstract
Lu tackled AI explainability challenges with innovative solutions, including an explainable framework for precise interpretations, a vision transformer for weakly supervised segmentation guided by attributes, pruning techniques to enhance model interpretability, and a framework for 3D editing informed by visual explanations. These advancements boost model trust across diverse applications.
| Item ID: | 85767 |
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| Item Type: | Thesis (PhD) |
| Keywords: | Deep learning, image understanding, explainable artificial intelligence |
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| Copyright Information: | Copyright © 2024 Lu Yu |
| Additional Information: | Three publications arising from this thesis are stored in ResearchOnline@JCU, at time of processing. Please see the Related URLS. The publications are: [Chapter 3] Yu, Lu, Xiang, Wei, Fang, Juan, Phoebe Chen, Yi Ping, and Zhu, Ruifeng (2022) A novel explainable neural network for Alzheimer’s disease diagnosis. Pattern Recognition, 131. 108876. [Chapter 4] Yu, Lu, Xiang, Wei, Fang, Juan, Chen, Yi-Ping Phoebe, and Chi, Lianhua (2023) eX-ViT: A Novel explainable vision transformer for weakly supervised semantic segmentation. Pattern Recognition, 142. 109666. [Chapter 5] Yu, Lu, and Xiang, Wei (2023) X-Pruner: eXplainable Pruning for Vision Transformers. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. pp. 24355-24363. From: CVPR 2023: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 17-24 June 2023, Vancouver, Canada. |
| Date Deposited: | 23 Jun 2025 23:23 |
| FoR Codes: | 40 ENGINEERING > 4003 Biomedical engineering > 400306 Computational physiology @ 50% 46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460304 Computer vision @ 30% 46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461103 Deep learning @ 20% |
| SEO Codes: | 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220499 Information systems, technologies and services not elsewhere classified @ 100% |
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