English

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

Computer Vision and Pattern Recognition 2020-06-17 v1

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: https://github.com/Siyu-C/ACAR-Net.

Cite

@article{arxiv.2006.09116,
  title  = {1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020},
  author = {Siyu Chen and Junting Pan and Guanglu Song and Manyuan Zhang and Hao Shao and Ziyi Lin and Jing Shao and Hongsheng Li and Yu Liu},
  journal= {arXiv preprint arXiv:2006.09116},
  year   = {2020}
}

Comments

arXiv admin note: substantial text overlap with arXiv:2006.07976

R2 v1 2026-06-23T16:22:15.680Z