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Crowd Counting using Xception and CSRNet

This is our final project for the Vision and Cognitive Systems course at the University of Padua.

Task: Crowd Counting

Dataset: Mall crowd counting dataset

Approaches:

  • Regression-based: Xception
    • MAE: 1.5996
  • Density-based: CSRNet
    • MAE: 3.44 (with pre-training) and 2.72 (CSRNet as a feature extractor)

Group members:

  • Dejan Dichoski
  • Maksim Kokot
  • Suleyman Erim