Multi-scale Feature Aggregation for Crowd Counting. (arXiv:2208.05256v2 [cs.CV] UPDATED)

Convolutional Neural Network (CNN) based crowd counting methods have achieved
promising results in the past few years. However, the scale variation problem
is still a huge challenge for accurate count estimation. In this paper, we
propose a multi-scale feature aggregation network (MSFANet) that can alleviate
this problem to some extent. Specifically, our approach consists of two feature
aggregation modules: the short aggregation (ShortAgg) and the skip aggregation
(SkipAgg). The ShortAgg module aggregates the features of the adjacent
convolution blocks. Its …

aggregation arxiv cv feature scale