BiRefNet / README.md

Refactor: transformers SwinBackbone layout, num_layers/nobg_version config, from_origin, hot-swappable criterion, paper_url card (weights remapped, metric-identical)

d4b93ce verified about 4 hours ago

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metadata

library_name: nobg
tags:
  - birefnet
  - model_hub_mixin
  - nobg
  - pytorch_model_hub_mixin

This model has been pushed to the Hub using the PytorchModelHubMixin integration.

Library: nobg

how to load

pip install nobg

use the AutoModel class

from nobg import AutoModel
model = AutoModel.from_pretrained("nobg/BiRefNet")

or you can use the model class directly

from nobg import BiRefNet
model = BiRefNet.from_pretrained("nobg/BiRefNet")

Citation

If you use this model, please cite the original paper (https://arxiv.org/abs/2401.03407):

@article{zheng2024birefnet,
  title={Bilateral Reference for High-Resolution Dichotomous Image Segmentation},
  author={Zheng, Peng and Gao, Dehong and Fan, Deng-Ping and Liu, Li and
          Laaksonen, Jorma and Ouyang, Wanli and Sebe, Nicu},
  journal={CAAI Artificial Intelligence Research},
  year={2024}
}

Contributions

Any contributions are welcome at https://github.com/feyninc/nobg