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UNet3+/ UNet++/UNet, used in Deep Automatic Portrait Matting in Pytorth
1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
Clean Implementation of Unet3+ and validation on Cityscapes dataset.
A pytorch implementation of UNetV3Plus
CNN architectures for multiclass semantic segmentation of esophageal diseases