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PyTorch implementation of 'MAE' (He et al., 2021) from scratch.

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Samples from Pseudo-pre-trained Model

Masked image, reconstructed image and original image

2. To-Dos

  • [✓] Architecture for pre-training
  • [✓] Architecture for self-supervised learning
  • [✗] Training on ImageNet-1K
  • [✗] Fine-tuning
  • [✗] Linear probing

3. References

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PyTorch implementation of 'MAE' (He et al., 2021) from scratch.

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