Opto-Electronic Engineering, Volume. 51, Issue 1, 230304-1(2024)
Design of Swin Transformer for semantic segmentation of road scenes
[7] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[C], 6000-6010(2017).
[11] Chen L C, Papandreou G, Kokkinos I et al. Semantic image segmentation with deep convolutional nets and fully connected CRFs[C](2015).
[15] Dosovitskiy A, Beyer L, Kolesnikov A et al. An image is worth 16x16 words: transformers for image recognition at scale[C](2021).
[21] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[C], 1106-1114(2012).
Get Citation
Copy Citation Text
Hao Hang, Yingping Huang, Xurui Zhang, Xin Luo. Design of Swin Transformer for semantic segmentation of road scenes[J]. Opto-Electronic Engineering, 2024, 51(1): 230304-1
Category: Article
Received: Dec. 14, 2023
Accepted: Jan. 24, 2024
Published Online: Apr. 19, 2024
The Author Email: Yingping Huang (黄影平)