论文标题
activitivenet挑战2020年AVA运动跨界的第一名解决方案
1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020
论文作者
论文摘要
该技术报告介绍了我们的获胜解决方案，以在2020年ActivityNet Challenge挑战中的时空动作本地化轨道Ava-Kinetics Crossover。我们描述了新的Ava-Kinetics数据集的技术细节，以及一些实验结果。没有任何铃铛和哨子，我们在Ava-Kinetics的测试集上获得了39.62个地图，这可以超过其他条目。代码将在以下网址提供：https：//github.com/siyu-c/acar-net。
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.
