Semantic Segmentation 模型整理 (持续更新)

主要关注它们的网络结构。

网络

• FCN: Fully Convolutional Networks for Semantic Segmentation, CVPR, 2015
• SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation, TPAMI, 2017
• DeconvNet: Learning Deconvolution Network for Semantic Segmentation, ICCV, 2015
• DilatedNet: Multi-Scale Context Aggregation by Dilated Convolutions, ICLR, 2016
• U-Net: Convolutional Networks for Biomedical Image Segmentation, MICCAI, 2015
• DeepLab-v1: Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs, ICLR, 2015
• DeepLab-v2: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs, TPAMI, 2017
• DeepLab-v3: Rethinking Atrous Convolution for Semantic Image Segmentation, arXiv, 2017
• DeepLab-v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation, ECCV, 2018
• ENet: A Deep Neural Network Architecture for
  Real-Time Semantic Segmentation, arXiv, 2016
• PSPNet: Pyramid Scene Parsing Network, CVPR, 2017
• RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation, CVPR, 2017

理论

• Understanding Convolution for Semantic Segmentation, WACV 2018