Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting
Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting
Recently, the problem of inaccurate learning targets in crowd counting draws increasing attention. Inspired by a few pioneering work, we solve this problem by trying to predict the indices of pre-defined interval bins of counts instead of the count values themselves. However, an inappropriate interval setting might make the count …