1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020

06/16/2020
by   Siyu Chen, et al.
0

This technical report introduces our winning solution to the spatio-temporal action localization track, AVA-Kinetics Crossover, in ActivityNet Challenge 2020. Our entry is mainly based on Actor-Context-Actor Relation Network. We describe technical details for the new AVA-Kinetics dataset, together with some experimental results. Without any bells and whistles, we achieved 39.62 mAP on the test set of AVA-Kinetics, which outperforms other entries by a large margin. Code will be available at: https://github.com/Siyu-C/ACAR-Net.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/14/2020

Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization

Localizing persons and recognizing their actions from videos is a challe...
research
06/09/2023

A Boosted Model Ensembling Approach to Ball Action Spotting in Videos: The Runner-Up Solution to CVPR'23 SoccerNet Challenge

This technical report presents our solution to Ball Action Spotting in v...
research
06/29/2022

Technical Report for CVPR 2022 LOVEU AQTC Challenge

This technical report presents the 2nd winning model for AQTC, a task ne...
research
03/12/2020

Top-1 Solution of Multi-Moments in Time Challenge 2019

In this technical report, we briefly introduce the solutions of our team...
research
06/14/2020

Working with scale: 2nd place solution to Product Detection in Densely Packed Scenes [Technical Report]

This report describes a 2nd place solution of the detection challenge wh...
research
11/16/2022

Where a Strong Backbone Meets Strong Features – ActionFormer for Ego4D Moment Queries Challenge

This report describes our submission to the Ego4D Moment Queries Challen...
research
07/05/2023

NMS Threshold matters for Ego4D Moment Queries – 2nd place solution to the Ego4D Moment Queries Challenge 2023

This report describes our submission to the Ego4D Moment Queries Challen...

Please sign up or login with your details

Forgot password? Click here to reset