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Scale-Invariant Crowd Counting Methods by dskmce is a document available to read on EtoBox.

What is Scale-Invariant Crowd Counting Methods about?

The document presents a comparison of various scale invariant crowd count analysis methods, focusing on their ability to accurately predict crowd counts from different perspectives. It evaluates models based on Mean Absolute Error (MAE) and Mean Squared Error (MSE) using the ShanghaiTech and UCF-CC-50 datasets, highlighting the performance of CSRNet as the best among the compared methods. The study emphasizes the significance of crowd counting in urban management and event safety, showcasing the advancement

Author

dskmce

Language

EN