# Convolution-enhanced ViT

CvT-w24 is a vision transformer model pre-trained on ImageNet-22k and fine-tuned at 384x384 resolution, improving traditional vision transformers through convolutional enhancements.

CvT-13 is a hybrid architecture model combining convolutional neural networks and vision transformers, pre-trained on the ImageNet-1k dataset, suitable for image classification tasks.