语义分割
对图像中每一个像素进行语义级分类，上图人物是红色，车辆是蓝色，树木是绿色，建筑是灰色等。不区分不同的带有相同语义的个体。因为语义分割需要进行像素级分类，所以标注成本很高。
论文列表
语义分割（6篇）
Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training
Squeeze-and-Attention Networks for Semantic Segmentation
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
Dual Super-Resolution Learning for Semantic Segmentation
Code：https://github.com/wanglixilinx/DSRL
Transferring and Regularizing Prediction for Semantic Segmentation
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
Code: https://github.com/hkchengrex/CascadePSP
神经架构搜索（NAS）(1篇)
Graph-Guided Architecture Search for Real-Time Semantic Segmentation
动态网络（Dynamic Networks）(Oral) (1篇)
Learning Dynamic Routing for Semantic Segmentation
Code：https://github.com/yanwei-li/DynamicRouting
视频语义分割（1篇）
Temporally Distributed Networks for Fast Video Semantic Segmentation
Code： https://github.com/feinanshan/TDNet
