Tensorflow:
1.ShuffleSeg: Real-time Semantic Segmentation Network-2018 [Paper] [Code-TensorFlow]
2.RTSeg: Real-time Semantic Segmentation Comparative Study – 2018 [Paper] [Code-TensorFlow]
3.DeepLabV3+:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation – 2018 – Google [Paper] [Code-Tensorflow] [Code-Karas]
4.BlitzNet: A Real-Time Deep Network for Scene Understanding-2017 [Project] [Code-Tensorflow] [Paper]
5.Pixel Deconvolutional Networks-2017 [Code-Tensorflow] [Paper]
6.DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs-2016 [Project] [Code-Caffe] [Code-Tensorflow] [Code-PyTorch] [Paper]
7.U-Net: Convolutional Networks for Biomedical Image Segmentation-2015 [Project] [Code+Data] [Code-Keras] [Code-Tensorflow] [Paper] [Notes]
8.Fully Convolutional Networks for Semantic Segmentation-2015 [Code-Caffe] [Model-Caffe] [Code-Tensorflow1] [Code-Tensorflow2] [Code-Chainer] [Code-PyTorch] [Paper1] [Paper2] [Slides1] [Slides2]
9.PixelLink: Detecting Scene Text via Instance Segmentation – AAAI2018 [Code-Tensorflow] [Paper]
10.Mask R-CNN-2017 [Code-Tensorflow] [Paper] [Code-Caffe2] [Code-Karas] [Code-PyTorch] [Code-MXNet]
11.End-to-End Instance Segmentation with Recurrent Attention [Paper] [Code-Tensorflow]
原文：https://www.cnblogs.com/xiexiaokui/p/12152165.html