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

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.

preprint2020arXivOpen access
Siyu ChenJunting PanGuanglu SongManyuan ZhangHao ShaoZiyi LinJing ShaoHongsheng LiYu Liu
Computer Vision
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Siyu ChenJunting PanGuanglu SongManyuan ZhangHao ShaoZiyi LinJing ShaoHongsheng LiYu Liu

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