DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation

CVPR 2018 Jiang LiuChenqiang GaoDeyu MengAlexander G. Hauptmann

In real-world crowd counting applications, the crowd densities vary greatly in spatial and temporal domains. A detection based counting method will estimate crowds accurately in low density scenes, while its reliability in congested areas is downgraded... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Crowd Counting WorldExpo’10 DecideNet Average MAE 9.23 # 8