Dense-Captioning Events in Videos: SYSU Submission to ActivityNet Challenge 2020

Code

• github.com/ttengwang/dense-video-captioning-pytorch
  OfficialIn paperpytorch★ 75

Abstract

This technical report presents a brief description of our submission to the dense video captioning task of ActivityNet Challenge 2020. Our approach follows a two-stage pipeline: first, we extract a set of temporal event proposals; then we propose a multi-event captioning model to capture the event-level temporal relationships and effectively fuse the multi-modal information. Our approach achieves a 9.28 METEOR score on the test set.

Tasks

Benchmark Results

Reproductions