Rethinking Spatial Invariance of Convolutional Networks for Object Counting

Zhi-Qi Cheng, Qi Dai, Hong Li, Jingkuan Song, Xiao Wu 0001, Alexander G. Hauptmann. Rethinking Spatial Invariance of Convolutional Networks for Object Counting. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. pages 19606-19616, IEEE, 2022. [doi]

@inproceedings{ChengDLS0H22,
  title = {Rethinking Spatial Invariance of Convolutional Networks for Object Counting},
  author = {Zhi-Qi Cheng and Qi Dai and Hong Li and Jingkuan Song and Xiao Wu 0001 and Alexander G. Hauptmann},
  year = {2022},
  doi = {10.1109/CVPR52688.2022.01902},
  url = {https://doi.org/10.1109/CVPR52688.2022.01902},
  researchr = {https://researchr.org/publication/ChengDLS0H22},
  cites = {0},
  citedby = {0},
  pages = {19606-19616},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6946-3},
}