  This paper presents a review of the 2018 WIDER Challenge on Face and
Pedestrian. The challenge focuses on the problem of precise localization of
human faces and bodies, and accurate association of identities. It comprises of
three tracks: (i) WIDER Face which aims at soliciting new approaches to advance
the state-of-the-art in face detection, (ii) WIDER Pedestrian which aims to
find effective and efficient approaches to address the problem of pedestrian
detection in unconstrained environments, and (iii) WIDER Person Search which
presents an exciting challenge of searching persons across 192 movies. In
total, 73 teams made valid submissions to the challenge tracks. We summarize
the winning solutions for all three tracks. and present discussions on open
problems and potential research directions in these topics.
