New approaches for the integration of the discrete cosine transform in neural networks for fine-grained image classification

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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Bibliographic Details
Main Author: Tan, Kelvin Sim Zhen
Format: Thesis (University of Nottingham only)
Language:English
Published: 2025
Subjects:
convolutional neural network (CNN); fine-grained visual classification (FGVC); discrete cosine transform (DCT); compressed domain image classification; pointwise convolution
Online Access:https://eprints.nottingham.ac.uk/80089/

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