Release SLOT model weights on Hugging Face

[NielsRogge]

Hi @volgachen 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability.If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.

The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance),
you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.

I see that you have released code to inference your model at test time. Would you be interested in hosting the pre-trained model weights of your model on the Hugging Face hub as well?
It'd be great to make them available on the 🤗 hub, to improve their discoverability/visibility.
We can add tags so that people find them when filtering https://huggingface.co/models.

Let me know if you're interested/need any help regarding this!

Kind regards,

Niels

[yanghu819]

Hi Niels,

Thank you for your interest; we're happy to submit the SLOT paper to hf.co/papers to enhance its visibility. As SLOT optimizes per-sample at test-time, it doesn't produce its own pre-trained weights, but we'd gladly share its implementation code on the Hub. We look forward to discussing with you how best to present our work there and are happy to help.

Best,
Yang Hu (on behalf of the SLOT authors)

[NielsRogge]

Great! The code itself can live on Github, if you have any artifacts like weights, datasets or a demo (in the form of a Hugging Face Space) to share, let me know.