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Label-free adaptation can recover nearly half of the counting errors in dynamic crowd scenarios, crucial for preventing crush incidents at mass gatherings.
In the most challenging crowd scenarios, a point-based counter outperforms traditional detection and segmentation methods, revealing a critical insight for real-world applications in crowd management.