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

2020-06-16 12:52:59
Siyu Chen, Junting Pan, Guanglu Song, Manyuan Zhang, Hao Shao, Ziyi Lin, Jing Shao, Hongsheng Li, Yu Liu
arXiv_CV
         
Abstract

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: this https URL.

Abstract (translated)

URL

https://arxiv.org/abs/2006.09116

PDF

https://arxiv.org/pdf/2006.09116.pdf

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