ActivityNet Entities Object Localization
Channel: ActivityNet
Date: 18/06/2021

This task aims to evaluate how grounded or faithful a description (could be generated or ground-truth) is to the video they describe. An object word is first identified in the description and then localized in the video in the form of a spatial bounding box. The prediction is compared against the human annotation to determine the correctness and overall localization accuracy.

Chapters
0:00 Task Intro
12:39 Winner Talk - RUC AIM^3 Team, Renmin University of China and INRIA