Rafi Alifa Bagja

Comparative Performance Analysis of Vision Transformer (ViT) and Convolutional Neural Network (CNN) Architectures for Semarang Batik Motif Classification

Vision Transformers (ViT) capture global image context through self-attention but are data-hungry, typically underperforming Convolutional Neural Networks (CNNs) on the small datasets common in fine-grained tasks such as batik motif recognition. This study investigates whether a ViT, trained via knowledge distillation...