% pubman genre = conference-paper
@inproceedings{item_3376875,
title = {{Two stream network for stroke detection in table tennis}},
author = {Zahra, Anam and Martin, Pierre-Etienne},
language = {eng},
url = {https://multimediaeval.github.io/editions/2021/},
doi = {10.48550/arXiv.2112.12073},
year = {2021},
abstract = {{This paper presents a table tennis stroke detection method from videos. The{\textless}br{\textgreater}method relies on a two-stream Convolutional Neural Network processing in{\textless}br{\textgreater}parallel the RGB Stream and its computed optical flow. The method has been{\textless}br{\textgreater}developed as part of the MediaEval 2021 benchmark for the Sport task. Our{\textless}br{\textgreater}contribution did not outperform the provided baseline on the test set but has{\textless}br{\textgreater}performed the best among the other participants with regard to the mAP metric.{\textless}br{\textgreater}}},
booktitle = {{Proceedings of MediaEval 2021 : Multimedia Benchmark Workshop}},
address = {Online},
note = {MediaEval 2021 Workshop},
}