Outputs (3)

Exploring filter placement in convolutional layer topologies based on ResNet for image classification (2025)
Journal Article

In this paper we investigate the impact that altering the convolutional layer topology has upon the performance of computer vision tasks using a variety of widely used benchmark image datasets. Despite the widespread convention in convolutional neura... Read More about Exploring filter placement in convolutional layer topologies based on ResNet for image classification.

Examining neural networks through architectural variation analysis for image classification (2025)
Presentation / Conference Contribution

This paper presents a method for examining neural networks in image classification through architectural variation analysis. Small-scale experiments generate initial insights, and the configurations are further tested on entire datasets. The newly pr... Read More about Examining neural networks through architectural variation analysis for image classification.

ResNet18 performance: Impact of network depth and image resolution on image classification (2024)
Presentation / Conference Contribution

This study explores aspects of using ResNet18 for the classification of biomedical images, using the 2D medical images from the MedMNIST library that is widely used for benchmarking. The number of layers within the ResNet18 was studied. The typically... Read More about ResNet18 performance: Impact of network depth and image resolution on image classification.