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Thanks for the minimal VICReg implementation!
`eval.py` is missing a `model.eval()` or `model.encoder.eval()` call prior to the linear layer training loop. Without it, the BatchNorm moving statisti…
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@guarin @Ra1Nik
Hi! I'm trying to adapt `VicRegL` to work with 3D images. So far, I implemented 3D transformations and appropriate grid creation, but I am running into some issues with the loss. I …
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Hi everyone,
the `VICRegLoss` implementation returns the final weighted sum of the three loss components (Invariance loss, Variance loss and Covariance loss).
I would like to see/log the individua…
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Hi, Kevin
I notice that the current implementation of VICREG doesn't have the gather layer for the input embeddings. Does it still work as expected to get embeddings from mini-batches in multi-gpus…
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## 🚀 Feature
Pytorch lightning implementation of the **VICReg model** following the style of other SSL models already available in PL Bolts.
### Motivation
[VICReg](https://arxiv.org/pdf/2105…
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Our VicREGL implementation creates one view with 224px crops and one with 96px crops. The loss is then calculated between the crops with different sizes.
The original VicREGL implementation creates…
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This paper describes how certain self-supervised learning frameworks can benefit from adopting non-uniform priors for improved performance on class-imbalanced datasets:
The Hidden Uniform Cluster …
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Dear VICReg authors, thanks for sharing the codes of this great work! I have strictly followed the parameter settings for the object detection task on VOC2007+12 described in the paper and initialized…
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Hi all,
Is there any link where I can access to the checkpoint of model trained using Barlowtwins and VicREG ?
I would like to evaluate this approach using different models and need the trained …
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## Keyword: differential privacy
### State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
- **Authors:** Chaoyu Zhang
- **Subjects:** Cryptography an…