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In this project, we propose to study Vision Transformers trained using the Barlow Twins self-supervised method, and compare the results with DINO. We demonstrate the effectiveness of the Barlow Twins method by showing that networks pretrained on the small PASCAL VOC 2012 dataset are able to generalize well. Authors: Apavou Clément & Zucker Arthur

License: GNU General Public License v3.0

Python 100.00%
computer-vision pytorch self-supervised-learning semantic-segmentation

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recvisproject's Issues

receptive field

The project looks interesting. My query is how did you calculate and visualize the receptive field of the transformer ? If there is any code that you share, it would be great,
Thanks

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