CAFN: The Combination of Atrous and Fractionally Strided Convolutional Neural Networks for Understanding the Densely Crowded Scenes

Lvyuan Fan, Minglei Tong, Min Li. CAFN: The Combination of Atrous and Fractionally Strided Convolutional Neural Networks for Understanding the Densely Crowded Scenes. In Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou 0001, Tieniu Tan, Nanning Zheng, Hongbin Zha, editors, Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II. Volume 11257 of Lecture Notes in Computer Science, pages 297-307, Springer, 2018. [doi]

@inproceedings{FanTL18,
  title = {CAFN: The Combination of Atrous and Fractionally Strided Convolutional Neural Networks for Understanding the Densely Crowded Scenes},
  author = {Lvyuan Fan and Minglei Tong and Min Li},
  year = {2018},
  doi = {10.1007/978-3-030-03335-4_26},
  url = {https://doi.org/10.1007/978-3-030-03335-4_26},
  researchr = {https://researchr.org/publication/FanTL18},
  cites = {0},
  citedby = {0},
  pages = {297-307},
  booktitle = {Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II},
  editor = {Jian-Huang Lai and Cheng-Lin Liu and Xilin Chen and Jie Zhou 0001 and Tieniu Tan and Nanning Zheng and Hongbin Zha},
  volume = {11257},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-03335-4},
}