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 NP) + TR humans + AM 2k + AIM 500 + Human 2k (synthesized with BG 20k) + Distinctions 646 (synthesized with BG 20k) + HIM2K + PPM 100 Validation Sets: + TE P3M 500 NP Performance: Dataset Method Smeasure maxFm meanEm MSE maxEm meanFm wFmeasure adpEm adpFm HCE mBA maxBIoU meanBIoU : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : TE P3M 500 NP BiRefNet matting epoch 100 .979 .996 .988 .003 .997 .986 .988 .864 .885 .000 .830 .940 .888 Check the main BiRefNet model repo for more info and how to use it: https://huggingface.co/ZhengPeng7/BiRefNet/blob/main/README.md Also…
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