Bilateral Reference for High Resolution Dichotomous Image Segmentation An arbitrary shape adaptable BiRefNet for general segmentation. This model was trained on arbitrary shapes (256x256 ~ 2304x2304) and shows great robustness on inputs with any shape. Performance How it looks when compared with BiRefNet general (fixed 1024x1024 resolution) greater than BiRefNet general and BiRefNet HR general on the reserved validation sets (DIS VD and TE P3M 500 NP). The dynamic XXxXX means this BiRefNet dynamic model was being tested in various input resolutions for the evaluation. For performance of different epochs, check the eval results xxx folder for it on my google drive. 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                      DIS Sample 1 DIS Sample 2 : : : : This repo is the official implementation of " Bilatera…
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