2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Maximizing Generalization: The Effect of Different Augmentation Techniques on Lightweight Vision Transformer for Bengali Character Classification
Rafi Hassan Chowdhury, Naimul Haque, Kaniz Fatiha
Deep learning models have proven to be highly effective in computer vision, with deep convolutional neural networks achieving impressive results across various computer vision task…
cs.CV2026★ 2 cited
BornoViT: A Novel Efficient Vision Transformer for Bengali Handwritten Basic Characters Classification
Rafi Hassan Chowdhury, Naimul Haque, Kaniz Fatiha
Handwritten character classification in the Bengali script is a significant challenge due to the complexity and variability of the characters. The models commonly used for classifi…