be37ff14df68192d976f6ce76c6cbd15-Paper.pdf

To extract behavioral information from rich video recordings, two avenues of research relying on deep learning have been proposed: landmark-based pose estimation methods [22,26,32] and autoencoder-based dimensionality reduction methods [2]. Pose estimation methods characterize animal behavior with the trajectories of body-part landmarks.