Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review

Understand

Our review explores the comparative analysis between Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) in the domain of image classification, with a particular focus on clothing classification within the e-commerce sector.

• Utilizing the Fashion MNIST dataset, we delve into the unique attributes of CNNs and ViTs.
• While CNNs have long been the cornerstone of image classification, ViTs introduce an innovative self-attention mechanism enabling nuanced weighting of different input data components.
• Historically, transformers have primarily been associated with Natural Language Processing (NLP) tasks.