An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks

Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hüger, Tim Fingscheidt. An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021. pages 12-20, Computer Vision Foundation / IEEE, 2021. [doi]

@inproceedings{VargheseGKKBSMS21,
  title = {An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks},
  author = {Serin Varghese and Sharat Gujamagadi and Marvin Klingner and Nikhil Kapoor and Andreas Bär and Jan David Schneider and Kira Maag and Peter Schlicht and Fabian Hüger and Tim Fingscheidt},
  year = {2021},
  doi = {10.1109/CVPRW53098.2021.00010},
  url = {https://doi.org/10.1109/CVPRW53098.2021.00010},
  researchr = {https://researchr.org/publication/VargheseGKKBSMS21},
  cites = {0},
  citedby = {0},
  pages = {12-20},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2021, virtual, June 19-25, 2021},
  publisher = {Computer Vision Foundation / IEEE},
  isbn = {978-1-6654-4899-4},
}