VNet: a versatile network to train real-time semantic segmentation models on a single GPU

Wenxing Li, Ning Lin, Mingzhe Zhang, Hang Lu, Xiaoming Chen 0003, Xiaowei Li. VNet: a versatile network to train real-time semantic segmentation models on a single GPU. Science in China Series F: Information Sciences, 65(3), 2022. [doi]

@article{LiLZLCL22,
  title = {VNet: a versatile network to train real-time semantic segmentation models on a single GPU},
  author = {Wenxing Li and Ning Lin and Mingzhe Zhang and Hang Lu and Xiaoming Chen 0003 and Xiaowei Li},
  year = {2022},
  doi = {10.1007/s11432-020-2971-8},
  url = {https://doi.org/10.1007/s11432-020-2971-8},
  researchr = {https://researchr.org/publication/LiLZLCL22},
  cites = {0},
  citedby = {0},
  journal = {Science in China Series F: Information Sciences},
  volume = {65},
  number = {3},
}