Masked Autoencoder Pretraining for Event Classification in Elite Soccer

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

We show that pretraining transformer models improves the performance on supervised classification of tracking data from elite soccer. Specifically, we propose a novel self-supervised masked autoencoder for multiagent trajectories. In contrast to related work, our approach is significantly simpler, has no necessity for handcrafted features and inherently allows for permutation invariance in downstream tasks.

OriginalspracheEnglisch
TitelMachine Learning and Data Mining for Sports Analytics : 10th International Workshop, MLSA 2023, Revised Selected Papers
HerausgeberUlf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
Anzahl der Seiten12
ErscheinungsortCham
VerlagSpringer Nature Switzerland AG
Erscheinungsdatum26.02.2024
Seiten24-35
ISBN (Print)978-3-031-53832-2
ISBN (elektronisch)978-3-031-53833-9
DOIs
PublikationsstatusErschienen - 26.02.2024
Veranstaltung10th International Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA 2023 - Turin, Italien
Dauer: 18.09.202318.09.2023
Konferenznummer: 10
https://dtai.cs.kuleuven.be/events/MLSA23/
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=173575&copyownerid=49896

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Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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