Semantic Segmentation 模型整理 (持續更新)
阿新 • • 發佈:2019-02-18
主要關注它們的網路結構。
網路
- 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
理論
- Understanding Convolution for Semantic Segmentation, WACV 2018