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B. Purnama

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Conference Jul 2026

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...

Rafi Alifa Bagja, B. Purnama · 0 citations

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