convolution-vision-transformers and CvT-TensorFlow

These are competitors, as one is a PyTorch implementation and the other is a TensorFlow 2.X re-implementation of the same academic paper, "CvT: Introducing Convolutions to Vision Transformers," meaning a user would choose one framework over the other.

convolution-vision-transformers
45
Emerging
CvT-TensorFlow
28
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 19/25
Maintenance 0/25
Adoption 3/25
Maturity 25/25
Community 0/25
Stars: 226
Forks: 34
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 3
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m

About convolution-vision-transformers

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.

deep-learning image-classification computer-vision neural-networks machine-learning-research

About CvT-TensorFlow

EMalagoli92/CvT-TensorFlow

TensorFlow 2.X reimplementation of CvT: Introducing Convolutions to Vision Transformers, Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang.

Related comparisons

convolution-vision-transformers and vision_transformers

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