图像分割网络模型汇总

以下是一些经典的图像分割网络论文：

1. Fully Convolutional Networks for Semantic Segmentation (FCN) - Jonathan Long, Evan Shelhamer, and Trevor Darrell. [Link](https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf)

2. U-Net: Convolutional Networks for Biomedical Image Segmentation - Olaf Ronneberger, Philipp Fischer, and Thomas Brox. [Link](https://arxiv.org/abs/1505.04597)

3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation - Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla. [Link](https://arxiv.org/abs/1511.00561)

4. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs - Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille. [Link](https://arxiv.org/abs/1606.00915)

5. Pyramid Scene Parsing Network (PSPNet) - Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia. [Link](https://arxiv.org/abs/1612.01105)

这些论文提出了一些经典的图像分割网络模型和方法，对于深入了解图像分割技术非常有帮助。