Browsing Computer Science - Undergraduate degree by Subject "Image Classification"
Now showing items 1-3 of 3
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An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification
(2024) [Work completion of graduation]Neural networks have grown more and more popular in the last few years as an effec tive tool for the task of image classification due to the impressive performance they have achieved on this task. In image classification ... -
An evaluation of pre-trained models for feature extraction in image classification
(2023) [Work completion of graduation]In recent years, we have witnessed a considerable increase in performance in image clas sification tasks. This performance improvement is mainly due to the use of deep learning techniques. Generally, deep learning techniques ... -
Graph Neural Networks for image classification : comparing approaches for building graphs
(2024) [Work completion of graduation]Graph Neural Networks (GNNs) is an approach that allows applying deep learning tech niques to non-Euclidean data, such as graphs and manifolds. Over the past few years, graph convolutional networks (GCNs) and graph attention ...