PyTorch Implementation of Barlow Twins paper: Barlow Twins: Self-Supervised Learning via Redundancy Reduction
This is currently a work in progress. The code is a modified version of the SimSiam implementation here
- Time per epoch is around 40 seconds on a V100 GPU
- GPU usage is around 9 GBytes
- The current version reaches around 84.7% test accuracy
Todo:
- warmup learning rate from 0
- report results on cifar-10
- create PR to add to lightly
pip install -r requirements.txt
- PyTorch
- PyTorch Lightning
- Torchvision
- lightly
We benchmark the BarlowTwins model on the CIFAR-10 dataset following the KNN evaluation protocol. Currently, the best effort achieved a test accuracy of 84.7%.
| Accuracy | Loss |
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Barlow Twins: Self-Supervised Learning via Redundancy Reduction