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Hi, thanks for your work!
How can i get image features from vicreg models?
I doing:
```
import torch
vicreg_model = torch.hub.load('facebookresearch/vicreg:main', 'resnet50')
data_transforms = …
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I try vicreg_b256_comp_2.yml config, but I seem cant get 8.47 eer, what is wrong? So I want to know best config ~
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Hi,
See the previous issue from the vicreg repo (https://github.com/facebookresearch/vicreg/issues/19).
If I'm correct, `torchvision.transforms.InterpolationMode` has only been introduced in 0.9…
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Hey guys,
There's no 'maps_projection' layer in **resnet50_alpha0p75** checkpoint, while the source code has it. Also, when l load the checkpoint, the global projection layer has batch norm layers …
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@Adrien987k thank you for the work and the implementation.
I have noticed that you are also using [classification loss](https://github.com/facebookresearch/VICRegL/blob/main/main_vicregl.py#L532), …
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Hi,
I can push up to a batch size of 256 on the Resnet18 backbone.
Could you suggest recommendations on hyperparameters ( Base learning rate, Projector dimensions, similarity/std/cov coefficients…
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With the self-supervised wrapper planned for version 2, the loss function can be used like in the paper by simply using the wrapper. So from a usability point of view, there's no reason to not have it…
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Hi, I would like to know the training time of your entire experiment with specific equipment, can you tell me?
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## VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
21.05.2021
https://arxiv.org/abs/2105.04906
https://github.com/facebookresearch/vicreg
New model similar t…
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Tech Insights. [Graph contrastive learning](https://medium.com/@TechInsight/graph-contrastive-learning-b82dbef44f23).
Zhu Y, Xu Y, Liu Q, et al. [An empirical study of graph contrastive learning](htt…