Lightweight Semantic Segmentation Network for Semantic Scene Understanding on Low-Compute Devices
Author:
Affiliation:
1. The University of Michigan,Research fellow of biomedical engineering,Ann Arbor,MI,USA,48109
2. Biomedical engineering at the University of Michigan,Ann Arbor,MI,USA,48109
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342110.pdf?arnumber=10342110
Reference47 articles.
1. U-Net: Convolutional Networks for Biomedical Image Segmentation
2. Rethinking atrous convolution for semantic image segmentation;Chen;arXiv preprint,2017
3. Vision transformer adapter for dense predictions;Chen;arXiv preprint,2022
4. Lawin transformer: Improving semantic segmentation transformer with multi-scale representations via large window attention;Yan;arXiv preprint,2022
5. Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
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