ML Anthology

Do What You Can, with What You Have: Scale-Aware and High Quality Monocular Depth Estimation Without Real World Labels

Kunal Swami, Amrit Muduli, Uttam Gurram, Pankaj Bajpai
CVPRW 2022 pp. 987-996
doi:10.1109/CVPRW56347.2022.00112 /cvprw/2022/swami2022cvprw-you/
CVPRW Semantic Scholar

Cite

Text

Swami et al. "Do What You Can, with What You Have: Scale-Aware and High Quality Monocular Depth Estimation Without Real World Labels." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022. doi:10.1109/CVPRW56347.2022.00112

Markdown

[Swami et al. "Do What You Can, with What You Have: Scale-Aware and High Quality Monocular Depth Estimation Without Real World Labels." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022.](https://mlanthology.org/cvprw/2022/swami2022cvprw-you/) doi:10.1109/CVPRW56347.2022.00112

BibTeX

@inproceedings{swami2022cvprw-you,
  title     = {{Do What You Can, with What You Have: Scale-Aware and High Quality Monocular Depth Estimation Without Real World Labels}},
  author    = {Swami, Kunal and Muduli, Amrit and Gurram, Uttam and Bajpai, Pankaj},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2022},
  pages     = {987-996},
  doi       = {10.1109/CVPRW56347.2022.00112},
  url       = {https://mlanthology.org/cvprw/2022/swami2022cvprw-you/}
}