Add Space-Time Correspondence as a Contrastive Random Walk paper
IgorSusmelj opened this issue · comments
Hi,
I like the list of papers! Thanks a lot for sharing. One of my recent favorites is missing: https://proceedings.neurips.cc/paper/2020/file/e2ef524fbf3d9fe611d5a8e90fefdc9c-Paper.pdf
They use self-supervised learning on videos.
I'm a core contributor to an open-source framework for self-supervised learning on images: https://github.com/lightly-ai/lightly. We already support Moco, SimCLR, SimSiam, and soon many more. Do you also plan to add such open-source frameworks to our list?
Hi, IgorSusmelj.
I didn't think of adding open-source frameworks to my list.
But, when I heard about it. I feel interesting.
I will add some open-source frameworks
Thanks,
…On Thu, Feb 25, 2021 at 11:19 PM IgorSusmelj ***@***.***> wrote:
Hi,
I like the list of papers! Thanks a lot for sharing. One of my recent
favorites is missing:
https://proceedings.neurips.cc/paper/2020/file/e2ef524fbf3d9fe611d5a8e90fefdc9c-Paper.pdf
They use self-supervised learning on videos.
I'm a core contributor to an open-source framework for self-supervised
learning on images: https://github.com/lightly-ai/lightly. We already
support Moco, SimCLR, SimSiam, and soon many more. Do you also plan to add
such open-source frameworks to our list?
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I updated some papers including your recommend paper ('Space-Time Correspondence
as a Contrastive Random Walk')
Thank you for the information.