Rethinking Global Context in Crowd Counting

Article Properties
Cite
Sun, Guolei, et al. “Rethinking Global Context in Crowd Counting”. Machine Intelligence Research, 2024, https://doi.org/10.1007/s11633-023-1475-z.
Sun, G., Liu, Y., Probst, T., Paudel, D. P., Popovic, N., & Van Gool, L. (2024). Rethinking Global Context in Crowd Counting. Machine Intelligence Research. https://doi.org/10.1007/s11633-023-1475-z
Sun, Guolei, Yun Liu, Thomas Probst, Danda Pani Paudel, Nikola Popovic, and Luc Van Gool. “Rethinking Global Context in Crowd Counting”. Machine Intelligence Research, 2024. https://doi.org/10.1007/s11633-023-1475-z.
Sun G, Liu Y, Probst T, Paudel DP, Popovic N, Van Gool L. Rethinking Global Context in Crowd Counting. Machine Intelligence Research. 2024;.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
10.1109/TPAMI.2020.3022878 2022
10.1109/TPAMI.2020.3035969 2020
10.1109/TPAMI.2020.3013269 2020
10.1109/TPAMI.2019.2899857 2019
ImageNet Large Scale Visual Recognition Challenge International Journal of Computer Vision
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 12,571 2015