Author(s): Ma C; Neri F; Gu L; Wang Z; Wang J; Qing A; Wang Y;

Machine learning algorithms are commonly used for quickly and efficiently counting people from a crowd. Test-time adaptation methods for crowd counting adjust model parameters and employ additional data augmentation to better adapt the model to the specific conditions encountered during testing. The majority of current studies concentrate on unsupervised ...

Article GUID: 39252679