rishikksh20/convolution-vision-transformers
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
This project offers a PyTorch implementation of the Convolutional Vision Transformer (CvT) neural network architecture. It takes image data as input and produces classifications, enabling advanced computer vision tasks. This is for researchers and machine learning engineers who need to experiment with or apply state-of-the-art image recognition models.
226 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or engineer working with image classification tasks and want to leverage a PyTorch implementation of the CvT model.
Not ideal if you are looking for a high-level API for general image processing or if you are not familiar with PyTorch and deep learning model architectures.
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226
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Language
Python
License
MIT
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Last pushed
May 26, 2021
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