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zijundeng/pytorch-semantic-segmentation

A collection of PyTorch implementations of semantic segmentation models including FCN, U-Net, SegNet, and PSPNet.

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This repository provides PyTorch implementations of various semantic segmentation architectures (FCN, U-Net, SegNet, PSPNet, GCN, DUC, HDC) along with training and testing pipelines. It supports pretrained backbones including VGG, ResNet, and DenseNet for encoder architectures and uses TensorBoard for training visualization.

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