Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders
Lucas Stoffl, Andy Bonnetto, Stéphane d’Ascoli, Alexander Mathis
The paper introduces a masked autoencoder framework to analyze hierarchical behavior in motion capture data using synthetic and real benchmarks.
bioRxiv · Aug 6, 2024 · PreprintAnimal Behavior & Cognition