Research6d ago
Research
New Fourier Method Improves Crowd Counting
The study introduces a Fourier transform-based approach that cuts domain shift errors in Crowd Counting by 30%. By applying frequency-domain augmentation, the technique trains models that generalize across varied scenes without extra labeled data. Practitioners can integrate the method into existing pipelines to boost accuracy in surveillance and event analytics.