Bilateral Reference for High Resolution Dichotomous Image Segmentation Peng Zheng 1,4,5,6 ,  Dehong Gao 2 ,  Deng Ping Fan 1 ,  Li Liu 3 ,  Jorma Laaksonen 4 ,  Wanli Ouyang 5 ,  Nicu Sebe 6 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 for general matting. Training Sets: + P3M 10k (except TE P3M 500 P) + TR humans Validation Sets: + TE P3M 500 P Performance: Dataset Method Smeasure maxFm meanEm MAE maxEm meanFm wFmeasure adpEm adpFm HCE : : : : : : : : : : : : : : : : : : : : : : : : TE P3M 500 P BiRefNet portrai epoch 150 .983 .996 .991 .006 .997 .988 .990 .933 .965 .000 Check the main BiRefNet model repo for more info and how to use it: https://huggingface.co/ZhengPeng7/BiRefNet/blob/main/README.md Also check the GitHub repo of BiRefNet for all things you may want: https://github.com/ZhengPeng7/BiRefNet Acknowledgement: + Many thanks to @fal for their generous support o…
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