本文汇总了GitHub上各种主流的图像语义分割算法，包括U-Net、SegNet、DeepLab、FCN、ENet、LinkNet等，涵盖了Keras、Tensorflow、PyTorch等多个深度学习框架的实现。适合深度学习与计算机视觉研究者参考和实践。
github图像语义分割代码汇总
Semantic segmentation
- U-Net (https://arxiv.org/pdf/1505.04597.pdf)
https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/ (Caffe - Matlab)
https://github.com/jocicmarko/ultrasound-nerve-segmentation (Keras)
https://github.com/EdwardTyantov/ultrasound-nerve-segmentation(Keras)
https://github.com/ZFTurbo/ZF_UNET_224_Pretrained_Model (Keras)
https://github.com/yihui-he/u-net (Keras)
https://github.com/jakeret/tf_unet (Tensorflow)
https://github.com/DLTK/DLTK/blob/master/examples/Toy_segmentation/simple_dltk_unet.ipynb (Tensorflow)
https://github.com/divamgupta/image-segmentation-keras (Keras)
https://github.com/ZijunDeng/pytorch-semantic-segmentation (PyTorch)
https://github.com/akirasosa/mobile-semantic-segmentation (Keras)
https://github.com/orobix/retina-unet (Keras) - SegNet (https://arxiv.org/pdf/1511.00561.pdf)
https://github.com/alexgkendall/caffe-segnet (Caffe)
https://github.com/developmentseed/caffe/tree/segnet-multi-gpu (Caffe)
https://github.com/preddy5/segnet (Keras)
https://github.com/imlab-uiip/keras-segnet (Keras)
https://github.com/andreaazzini/segnet (Tensorflow)
https://github.com/fedor-chervinskii/segnet-torch (Torch)
https://github.com/0bserver07/Keras-SegNet-Basic (Keras)
https://github.com/tkuanlun350/Tensorflow-SegNet (Tensorflow)
https://github.com/divamgupta/image-segmentation-keras (Keras)
https://github.com/ZijunDeng/pytorch-semantic-segmentation (
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