1
Nankai University
2
Northwestern Polytechnical University
3
National University of Defense Technology
4
Aalto University
5
Shanghai AI Laboratory
6
University of Trento
This repo holds the official weights of BiRefNet trained for Camouflaged Object Detection (COD) in the original paper.
@article{BiRefNet,
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}
}
Runs of ZhengPeng7 BiRefNet-COD on huggingface.co
493
Total runs
64
24-hour runs
190
3-day runs
247
7-day runs
272
30-day runs
More Information About BiRefNet-COD huggingface.co Model
BiRefNet-COD huggingface.co is an AI model on huggingface.co that provides BiRefNet-COD's model effect (), which can be used instantly with this ZhengPeng7 BiRefNet-COD model. huggingface.co supports a free trial of the BiRefNet-COD model, and also provides paid use of the BiRefNet-COD. Support call BiRefNet-COD model through api, including Node.js, Python, http.
BiRefNet-COD huggingface.co is an online trial and call api platform, which integrates BiRefNet-COD's modeling effects, including api services, and provides a free online trial of BiRefNet-COD, you can try BiRefNet-COD online for free by clicking the link below.
ZhengPeng7 BiRefNet-COD online free url in huggingface.co:
BiRefNet-COD is an open source model from GitHub that offers a free installation service, and any user can find BiRefNet-COD on GitHub to install. At the same time, huggingface.co provides the effect of BiRefNet-COD install, users can directly use BiRefNet-COD installed effect in huggingface.co for debugging and trial. It also supports api for free installation.