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DualViT is a project implementing dual vision transformer models for image classification on CIFAR-10, CIFAR-100, and ImageNet-1k datasets, presented at ICPR 2024.

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Dutta-SD/DualViT

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DualViT (ICPR 2024)

Code for DualViT (ICPR 2024)

Features

  • Code, Training and evaluation of DualViT models on CIFAR-10, CIFAR-100, and ImageNet-1k datasets

Installation

  1. Clone the repository:
git clone https://github.com/Dutta-SD/DualViT
  1. Create a new virtual environment and activate it:
python -m venv env
source env/bin/activate  # On Windows, use `env\Scripts\activate`
  1. Install the required packages:
pip install -r requirements.txt

License

This project is licensed under the MIT License.

Credits

This project utilizes the following third-party libraries:

Acknowledgments

We would like to thank the authors of the original Vision Transformer paper and the developers of the PyTorch, PyTorch Lightning, and Transformers libraries for their contributions to the field of deep learning and computer vision.

About

DualViT is a project implementing dual vision transformer models for image classification on CIFAR-10, CIFAR-100, and ImageNet-1k datasets, presented at ICPR 2024.

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