This BiRefNet for camouflaged object detection (COD) is trained on standard COD training set: COD10K-TR and CAMO-TR and validated on COD10K-TE, NC4K, CAMO, and CHAMELLON.
This repo holds the official model weights of "Bilateral Reference for High-Resolution Dichotomous Image Segmentation" (arXiv 2024).
This repo contains the weights of BiRefNet proposed in our paper, which has achieved the SOTA performance on three tasks (DIS, HRSOD, and COD).
Go to my GitHub page for BiRefNet codes and the latest updates: https://github.com/ZhengPeng7/BiRefNet :)
Try our online demos for inference:
- Inference and evaluation of your given weights:
- Online Inference with GUI on Hugging Face with adjustable resolutions:
Citation
@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={arXiv},
year={2024}
}