1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.

PyTorch implementation of MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation

Machine Learning 2 Course Project at RKMVERI, 2021. Published at The Imaging Science Journal (2023), Paper: https://www.tandfonline.com/doi/full/10.1080/13682199.2023.2174657

An experimental implementation of MultiRes-U-Net for facial feature segmentation using the CelebAMaskHQ dataset.