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Vanilla FCN: FCN32, FCN16, FCN8, in the versions of VGG, ResNet and DenseNet respectively\n([Fully convolutional networks for semantic segmentation](http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Long_Fully_Convolutional_Networks_2015_CVPR_paper.pdf))\n2. U-Net ([U-net: Convolutional networks for biomedical image segmentation](https://arxiv.org/pdf/1505.04597))\n3. SegNet ([Segnet: A deep convolutional encoder-decoder architecture for image segmentation](https://arxiv.org/pdf/1511.00561))\n4. PSPNet ([Pyramid scene parsing network](https://arxiv.org/pdf/1612.01105))\n5. GCN ([Large Kernel Matters](https://arxiv.org/pdf/1703.02719))\n6. DUC, HDC ([understanding convolution for semantic segmentation](https://arxiv.org/pdf/1702.08502.pdf))\n7. Mask-RCNN ([paper](https://arxiv.org/abs/1703.06870), [code from FAIR](https://github.com/facebookresearch/Detectron), [\u003cb\u003ecode PyTorch\u003c/b\u003e](https://github.com/multimodallearning/pytorch-mask-rcnn))\n\n## Requirement\n1. PyTorch 0.2.0\n2. TensorBoard for PyTorch. [Here](https://github.com/lanpa/tensorboard-pytorch)  to install\n3. Some other libraries (find what you miss when running the code :-P)\n\n## Preparation\n1. Go to ``*models*`` directory and set the path of pretrained models in ``*config.py*``\n2. Go to ``*datasets*`` directory and do following the ``README``\n\n## TODO\nI'm going to implement \u003ca href=\"https://github.com/Charmve/PaperWeeklyAI/tree/master/05_Image%20Segmentation\" target=\"_blank\"\u003e\u003ci\u003eThe Image Segmentation Paper Top10 Net\u003c/i\u003e\u003c/a\u003e in PyTorch firstly.\n\n- [ ] DeepLab v3  \n- [ ] RefineNet \n- [ ] ImageNet\n- [ ] GoogleNet\n- [ ] More dataset (e.g. ADE)\n\n## Citation\nUse this bibtex to cite this repository:\n```\n@misc{PyTorch for Semantic Segmentation in Action,\n  title={Some Implementation of Semantic Segmentation in PyTorch},\n  author={Charmve},\n  year={2020.10},\n  publisher={Github},\n  journal={GitHub repository},\n  howpublished={\\url{https://github.com/Charmve/Semantic-Segmentation-PyTorch}},\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FCharmve%2FSemantic-Segmentation-PyTorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FCharmve%2FSemantic-Segmentation-PyTorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FCharmve%2FSemantic-Segmentation-PyTorch/lists"}