印象に残っているものを列挙(おそらく随時追記する).
UNet-based models
- Pyramid Attention Network(https://arxiv.org/pdf/1805.10180.pdf)
- Global Convolututional Network(https://arxiv.org/pdf/1703.02719.pdf)
- Attention-Gated UNet(https://arxiv.org/pdf/1804.03999.pdf)
- OCNet: Object Context Network(https://arxiv.org/pdf/1809.00916.pdf)
- Pyramid Scene Parsing Network, PSPNet(https://arxiv.org/pdf/1612.01105.pdf)
- Atrous Spatial Pyramid Pooling UNet(https://arxiv.org/pdf/1706.05587.pdf)
- Stacked UNet(http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Sun_Stacked_U-Nets_With_CVPR_2018_paper.pdf)
- ESP-UNet(https://arxiv.org/pdf/1803.06815.pdf)
- DeepLab v3+ (https://arxiv.org/pdf/1802.02611.pdf)
Technique
- Adaptive Affinity Fields(https://arxiv.org/pdf/1803.10335.pdf)
- Watersheld(https://jp.mathworks.com/company/newsletters/articles/the-watershed-transform-strategies-for-image-segmentation.html)
Loss-function
- Lovasz-Softmax(https://arxiv.org/pdf/1705.08790.pdf)
