sslearn

Examples of usage can be found in folder examples.

Pretraining models:

• Colorization
• CPC
• MoCo
• SimCLR
• SwAV
• DINO
• BYOL
• SimSiam
• Barlow Twins

References

1. Deep Residual Learning for Image Recognition (ResNet)

2. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (ViT)

3. Momentum Contrast for Unsupervised Visual Representation Learning (MoCo)

4. A Simple Framework for Contrastive Learning of Visual Representations (SimCLR)

5. Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (SwAV)

6. Emerging Properties in Self-Supervised Vision Transformers (DINO)

7. Bootstrap your own latent: A new approach to self-supervised Learning (BYOL)

8. Barlow Twins: Self-Supervised Learning via Redundancy Reduction (Barlow Twins)