A Fusion-based Machine Learning Approach for Classification of Seabed Defects
The IEResViT model, a novel fusion-based hybrid architecture that integrates a Depthwise Inception Convolutional Neural Network (CNN) with a modified Vision Transformer (ViT) framework, outperforming several state-of-the-art deep learning models while using fewer parameters and reduced computational cost.