NMS Threshold matters for Ego4D Moment Queries -- 2nd place solution to the Ego4D Moment Queries Challenge 2023
2023-07-05Code Available2· sign in to hype
Lin Sui, Fangzhou Mu, Yin Li
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/happyharrycn/actionformer_releaseOfficialIn paperpytorch★ 548
Abstract
This report describes our submission to the Ego4D Moment Queries Challenge 2023. Our submission extends ActionFormer, a latest method for temporal action localization. Our extension combines an improved ground-truth assignment strategy during training and a refined version of SoftNMS at inference time. Our solution is ranked 2nd on the public leaderboard with 26.62% average mAP and 45.69% Recall@1x at tIoU=0.5 on the test set, significantly outperforming the strong baseline from 2023 challenge. Our code is available at https://github.com/happyharrycn/actionformer_release.