Crowd Counting With Deep Negative Correlation Learning

CVPR 2018 Zenglin ShiLe ZhangYun LiuXiaofeng CaoYangdong YeMing-Ming ChengGuoyan Zheng

Deep convolutional networks (ConvNets) have achieved unprecedented performances on many computer vision tasks. However, their adaptations to crowd counting on single images are still in their infancy and suffer from severe over-fitting... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.