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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
PyTorch for Semantic Segmentation
| Date | Stars |
|---|---|
| 2026-07-24 | 1738 |
| 2026-07-25 | 1738 |
| 2026-07-28 | 1738 |
| 2026-07-30 | 1738 |
| 2026-08-06 | 1738 |
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Momentum
0.0
growth rate 0.00%/day
# PyTorch for Semantic Segmentation This repository contains some models for semantic segmentation and the pipeline of training and testing models, implemented in PyTorch ## Models 1. Vanilla FCN: FCN32, FCN16, FCN8, in the versions of VGG, ResNet and DenseNet respectively ([Fully convolutional networks for semantic segmentation](http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Long_Fully_Convolutional_Networks_2015_CVPR_paper.pdf)) 2. U-Net ([U-net: Convolutional networks for biomedical image segmentation](https://arxiv.org/pdf/1505.04597)) 3. SegNet ([Segnet: A deep convolutional encoder-decoder architecture for image segmentation](https://arxiv.org/pdf/1511.00561)) 4. PSPNet ([Pyramid scene parsing network](https://arxiv.org/pdf/1612.01105)) 5. GCN ([Large Kernel Matters](https://arxiv.org/pdf/1703.02719)) 6. DUC, HDC ([understanding convolution for semantic segmentation](https://arxiv.org/pdf/1702.08502.pdf)) ## Requirement 1. PyTorch 0.2.0 2. TensorBoard for PyTorch. [Here](https://github.com/lanpa/tensorboard-pytorch) to install 3. Some other libraries (find what you miss when running the code :-P) ## Preparation 1. Go to *models* directory and set the path of pretrained models in *config.py* 2. Go to *datasets* directory and do following the README ## TODO 1. DeepLab v3 2. RefineNet 3. More dataset (e.g. ADE)
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c6347a620b74f820, topic:deep-learning, topic:pytorch
matched fp:c6347a620b74f820, readme:image segmentation, name:semantic segmentation, desc:semantic segmentation