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Hi!
Reading your code, I've noticed you take the mean of the two variance terms:
https://github.com/facebookresearch/vicreg/blob/main/main_vicreg.py#L207
On the other hand, there's no sign of d…
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Following the instructions on the README I am trying to download the pretrained models
```
import torch
resnet50 = torch.hub.load('facebookresearch/vicreg:main', 'resnet50')
```
This fails beca…
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I got the following error, when I ran:
` python -m torch.distributed.launch --nproc_per_node=8 main_vicreg.py --data-dir --exp-dir --arch resnet34 --epochs 10 --batch-size 512 --base-lr 0.3 `
E…
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I downloaded the available checkpoint for ResNet-50 through the provided link: https://dl.fbaipublicfiles.com/vicreg/resnet50_fullckpt.pth
But upon loading the checkpoint, following error appears:
…
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Hi,
will there be an update with VICReg loss function? It is a pretty cool loss that does not need negative samples.
https://arxiv.org/abs/2105.04906
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Amazing repo for SSL. Great work guys! I would like to know where to change so that I can pass the input images to different backbones (like 1 image in Resnet50 and other augmented images in ResNet18)…
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In the following code as part of CLIP.`__init__`
```
if use_visual_ssl:
if visual_ssl_type == 'simsiam':
ssl_type = SimSiam
elif visual_ssl_type =…
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Hi,
Thank you very much for the excellent work on bringing all the different self supervised models at one place, and high code quality.
I am currently working on the VICReg loss, and was wonder…
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It seems like this repo can reproduce transfer learning results in MoCo, SwAV, SimSiam, Barlow Twins and VICReg but has large gap compared to those done in SimCLR, BYOL and NNCLR.
This figure detai…