Release artifacts (models, datasets) on Hugging Face

Hi @heitorrapela 🤗

Niels here from 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](https://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, datasets or demo 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 noticed in your GitHub README that you plan to release the code and artifacts once the paper is accepted. It'd be great to make the WiSE-OD checkpoints and the new benchmarks (**LLVIP-C** and **FLIR-C**) available on the 🤗 hub to improve their discoverability and visibility within the community. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.

## Uploading models

See here for a guide: https://huggingface.co/docs/hub/models-uploading.

In this case, you could leverage the [PyTorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) class which adds `from_pretrained` and `push_to_hub` to any custom `nn.Module`. Alternatively, one can leverages the [hf_hub_download](https://huggingface.co/docs/huggingface_hub/en/guides/download#download-a-single-file) one-liner to download a checkpoint from the hub.

## Uploading dataset

Would be awesome to make the LLVIP-C and FLIR-C datasets available on 🤗 , so that people can do:

```python
from datasets import load_dataset

dataset = load_dataset("your-hf-org-or-username/your-dataset")
```
See here for a guide: https://huggingface.co/docs/datasets/loading.

Besides that, there's the [dataset viewer](https://huggingface.co/docs/hub/en/datasets-viewer) which allows people to quickly explore the first few rows of the data in the browser.

Let me know if you're interested or need any help regarding this when you are ready to release!

Cheers,

Niels
ML Engineer @ HF 🤗