1. Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks
2. Cao H, Wang Y, Chen J, Jiang D, Zhang X, Tian Q, Wang M. 2022. Swin-UNET: UNET-like pure Transformer for medical image segmentation//European conference on computer vision. Cham Switzerland: Springer Nature Switzerland; p. 205–218.
3. Transunet: transformers make strong encoders for medical image segmentation;Chen J;arXiv preprint arXiv:2102.04306,2021
4. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
5. Dosovitskiy A Beyer L Kolesnikov A Weissenborn D Zhai XH Unterthiner T Dehghani M Minderer M Heigold G Gelly S et al. 2021. An image is worth 16 × 16words: transformers for image recognition at scale[2022-03-26]. https://arxiv.org/pdf/2010.11929.pdf.