A Comparative Analysis of Convolutional Neural Network and Vision Transformer Embeddings on a Novel Domain-Specific Task
Nuriel Sahlom Mor
Abstract:The Vision Transformer (ViT) architecture utilized the self attention and transformer architecture originally designed for natural lan guage processing (NLP) enables ViTs to capture global relationships and long-range dependencies within images. The purpose of our study was to compare the performance of embeddings generated by Convolutional Neural Network (CNN) and Vision Transformers (ViT) on a novel domain-specific task which was not presented at any point to the models prior to the process of the embed… Show more
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