In Defense of Multi-Source Omni-Supervised Efficient ConvNet for Robust Semantic Segmentation in Heterogeneous Unseen Domains

Kailun Yang 0001, Xinxin Hu, Kaiwei Wang, Rainer Stiefelhagen. In Defense of Multi-Source Omni-Supervised Efficient ConvNet for Robust Semantic Segmentation in Heterogeneous Unseen Domains. In IEEE Intelligent Vehicles Symposium, IV 2020, Las Vegas, NV, USA, October 19 - November 13, 2020. pages 1386-1393, IEEE, 2020. [doi]

@inproceedings{0001HWS20,
  title = {In Defense of Multi-Source Omni-Supervised Efficient ConvNet for Robust Semantic Segmentation in Heterogeneous Unseen Domains},
  author = {Kailun Yang 0001 and Xinxin Hu and Kaiwei Wang and Rainer Stiefelhagen},
  year = {2020},
  doi = {10.1109/IV47402.2020.9304768},
  url = {https://doi.org/10.1109/IV47402.2020.9304768},
  researchr = {https://researchr.org/publication/0001HWS20},
  cites = {0},
  citedby = {0},
  pages = {1386-1393},
  booktitle = {IEEE Intelligent Vehicles Symposium, IV 2020, Las Vegas, NV, USA, October 19 - November 13, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-6673-5},
}