cassle
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Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
Hi, I found this work very interesting and plan to work on similar topics. However I encounter some issues: (1) For the fine-tuning example with Barlow Twins and CIFAR-100, should...
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...
Hi, I have a few questions about the simclr code. 1. https://github.com/DonkeyShot21/cassle/blob/b5b0929c3b468cd41740a529d58e92ee4e6ace61/cassle/losses/simclr.py#L21 It seems that the predicted features (p) are not in the negatives, which is different from what's suggested...
I'm wondering if you provide the correct training procedure for DomainNet, as I see from main_pretrain.py, you only use the trainer.fit() on validation data, and it seems not a train...
Hi! We are following your excellent work. We would like to know more clearly the details of your experiments on CIRAR-100 to calculate `Forward Transfer`, such as how the accuracy...
Hi, Thanks a lot for your amazing work and releasing the code. I am trying to reproduce your **[Table 4](https://arxiv.org/pdf/2112.04215.pdf)** for sometime. I directly use the code and the scripts...
Hi, Thank you very much for your excellent work. I have a theoretical question regarding the role of the predictor network g as described in section 5, "The CaSSLe Framework":...
I'm checking your CaSSLe. It's good paper and code. Thanks. How can I use supervised and offline setting in your code?