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Papers

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

2020-06-16 · Siyu Chen, Junting Pan, Guanglu Song, Manyuan Zhang, Hao Shao, Ziyi Lin, Jing Shao, Hongsheng Li, Yu Liu

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.

📄 PDF Abstract BibTeX arXiv:2006.09116

Code (3)

Siyu-C/ACAR-Net 공식 구현 pytorch
Mind23-2/MindCode-12 mindspore
MindSpore-scientific/code-12/tree/main/AVA_hpa mindspore

Tasks

Action LocalizationRelation NetworkSpatio-Temporal Action LocalizationTemporal Action Localization

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