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Hello,
I noticed that when training with ddp using multi-gpu setup, the recall numbers got higher than comparing to using single gpu. Have you encountered this issue? I wonder if this is a similar …
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Dear Authors:
I have followed the instructions in README and run your code on the environment provided in your requirement.yaml for three times. However, the results I got is only (0.7952, 0.770…
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您好,在下载完cifar10和cifar100之后提示如题报错,请问一下这个pseudo_imagenet的数据集在哪里可以下载呢?
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### Background
A loss function suitable for unsupervised learning would contribute to extending ProgLearn's training domain to unsupervised settings in which labeled data are not available.
The…
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I am interested in downloading a pre-trained simCLR model with the projection head, to retrieve the latent features z, upon which the contrastive loss was applied.
Is this layer + pre-trained weight…
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Thank you for your code,
Can it be used for training on labeled COCO datasets
Can you give me some guidance on how to use simclr for downstream tasks, such as supervised target detection?
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Has anyone trained CrossTransformer and can share the checkpoints? The model is GPU intensive (requires 7 days of training with 8 GPUs with al least 16GB memory according to the author). Many people i…
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Hi! It seems there is some dependency issue going on. I've been troubleshooting locally with no luck.
When running the installation bit of the [colab](https://colab.research.google.com/drive/1Njz8…
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thank you for your time series work.
for transformer backbone, my SleepEEG2Epilepsy reproduce result is close to paper,but others i can't get a good result.
I refered to the paper and simCLR baseli…
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*Note:* I should also try some experiments with supervised ImageNet pretrained models. A lot of the stuff here will be the same as for them, but I'll just focus on SimCLR stuff here.