Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach

Abdulrahman Kerim, Felipe C. Chamone, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang 0001. Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach. In 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022. pages 977, BMVA Press, 2022. [doi]

@inproceedings{KerimCRMN022,
  title = {Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach},
  author = {Abdulrahman Kerim and Felipe C. Chamone and Washington L. S. Ramos and Leandro Soriano Marcolino and Erickson R. Nascimento and Richard Jiang 0001},
  year = {2022},
  url = {https://bmvc2022.mpi-inf.mpg.de/977/},
  researchr = {https://researchr.org/publication/KerimCRMN022},
  cites = {0},
  citedby = {0},
  pages = {977},
  booktitle = {33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022},
  publisher = {BMVA Press},
}