CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation

Cite

Text

Bai et al. "CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation." European Conference on Computer Vision Workshops, 2022. doi:10.1007/978-3-031-25075-0_16

Markdown

[Bai et al. "CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation." European Conference on Computer Vision Workshops, 2022.](https://mlanthology.org/eccvw/2022/bai2022eccvw-countr/) doi:10.1007/978-3-031-25075-0_16

BibTeX

@inproceedings{bai2022eccvw-countr,
  title     = {{CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation}},
  author    = {Bai, Haoyue and He, Hao and Peng, Zhuoxuan and Dai, Tianyuan and Chan, S.-H. Gary},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2022},
  pages     = {207-222},
  doi       = {10.1007/978-3-031-25075-0_16},
  url       = {https://mlanthology.org/eccvw/2022/bai2022eccvw-countr/}
}