收获满满的图像分割营就要结营了。
朱老师VIM代码看过瘾了之后，想着再把理论看一看，好好复习一下。
于是整理了一些朱老师讲过的算法有关的论文，希望对大家有帮助。

• FCN

Fully Convolutional Networks for Semantic Segmentation
https://arxiv.org/abs/1411.4038

• U-Net

U-Net: Convolutional Networks for Biomedical Image Segmentation
https://arxiv.org/abs/1505.04597

• PSPNet

Pyramid Scene Parsing Network
https://arxiv.org/abs/1612.01105

• DeepLabV1

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
https://arxiv.org/abs/1412.7062

• DeepLabV2

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
https://arxiv.org/abs/1606.00915

• DeepLabV3

Rethinking Atrous Convolution for Semantic Image Segmentation
https://arxiv.org/abs/1706.05587

• DeepLabV3+

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
https://arxiv.org/abs/1802.02611

最后附上课程链接，错过了的小伙伴快上车。

https://aistudio.baidu.com/aistudio/education/group/info/1767

期待朱老师的下一次出场！