2 projects for "parallel image segmentation" with 2 filters applied:

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  • 1
    pytorch-fcn

    pytorch-fcn

    PyTorch Implementation of Fully Convolutional Networks

    pytorch-fcn is a PyTorch implementation of Fully Convolutional Networks for semantic image segmentation. It reproduces the influential FCN approach that converts classification networks into dense, pixel-level predictors. The package includes FCN32s, FCN16s, FCN8s, and FCN8s-at-once variants with progressively finer output reconstruction. Training code and a PASCAL VOC example are provided so users can reproduce baseline experiments.
    Downloads: 0 This Week
    Last Update:
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  • 2
    deep-learning-for-image-processing

    deep-learning-for-image-processing

    deep learning for image processing including classification

    ...Classification topics range from LeNet and AlexNet to ResNet, EfficientNet, Vision Transformer, Swin Transformer, ConvNeXt, and MobileViT. Additional sections cover object detection, semantic segmentation, instance segmentation, and keypoint detection using widely studied models. The project is designed as a learning resource for students and developers who want readable code and guided comparisons across computer vision tasks.
    Downloads: 0 This Week
    Last Update:
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