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Survey.md

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Survey Papers

  • Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives (Image and Vision Computing2023) [paper]
  • A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal (Neurocomputing2022) [paper]
  • CNN-based Density Estimation and Crowd Counting: A Survey (arXiv 2020.3) [paper]
  • Beyond Counting:Comparisons of Density Maps for Crowd Analysis Tasks (T-CSVT2018) [paper][arxiv]
  • A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation (PR Letters2018) [paper]
  • Advances and Trends in Visual Crowd Analysis: A Systematic Survey and Evaluation of Crowd Modelling Techniques (Neurocomputing2016) [paper]
  • An Evaluation of Crowd Counting Methods, Features and Regression Models (CVIU2015) [paper]
  • Crowded Scene Analysis:A Survey (T-CSVT2015) [paper]
  • Recent survey on crowd density estimation and counting for visual surveillance (Artificial Intelligence2015) [paper]
  • A Survey of Human-Sensing: Methods for Detecting Presence, Count, Location, Track, and Identity (CSUR2010) [paper]