New approaches for the integration of the discrete cosine transform in neural networks for fine-grained image classification
A convolutional neural network (CNN) is a popular neural network architecture that excels in its ability to capture patterns in tasks with grid-structured inputs (e.g. visual recognition). Fine-grained visual classification (FGVC) uses CNN to categorise images of high intra-class and low inter-class...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2025
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| Online Access: | https://eprints.nottingham.ac.uk/80089/ |