人群计数:SFCN--Learning from Synthetic Data for Crowd Counting in the Wild

Now, there is a serious problem, the scarce data led many methods suffer from over-fitting to a different extent. ** contribution: ** We are the first to develop a data collector and labeler for crowd
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