Hi @7uHeng 馃
Niels here from the open-source team at Hugging Face. I discovered your work "Out-of-Distribution Semantic Occupancy Prediction" 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, 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.
Your work introduces exciting new datasets and a model architecture. It'd be great to make the OccOoD model checkpoints and the VAA-KITTI and VAA-KITTI-360 datasets available on the 馃 hub to improve their discoverability and visibility. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
I see in your README that you plan to release the code and data - is there an estimated timeline for this release? If you'd be interested in hosting them on Hugging Face, I'd be happy to guide you through the process. It offers several advantages like easy sharing, version control, community contributions, and direct integration with other Hugging Face tools and libraries.
For models:
For datasets:
Let me know what you think!
Cheers,
Niels
ML Engineer @ HF 馃
Hi @7uHeng 馃
Niels here from the open-source team at Hugging Face. I discovered your work "Out-of-Distribution Semantic Occupancy Prediction" 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, 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.
Your work introduces exciting new datasets and a model architecture. It'd be great to make the OccOoD model checkpoints and the VAA-KITTI and VAA-KITTI-360 datasets available on the 馃 hub to improve their discoverability and visibility. We can add tags so that people find them when filtering https://huggingface.co/models and https://huggingface.co/datasets.
I see in your README that you plan to release the code and data - is there an estimated timeline for this release? If you'd be interested in hosting them on Hugging Face, I'd be happy to guide you through the process. It offers several advantages like easy sharing, version control, community contributions, and direct integration with other Hugging Face tools and libraries.
For models:
push_to_hubmethod: https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixinhf_hub_download: https://huggingface.co/docs/huggingface_hub/en/guides/download#download-a-single-fileFor datasets:
Let me know what you think!
Cheers,
Niels
ML Engineer @ HF 馃