1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Jun 2020.
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Citing papers per year: 2022: 1; 2023: 1.
2 papers.
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