2024
Model Adaptation for Time Constrained Embodied Control
CVPR 2024poster
When adopting a deep learning model for embodied agents it is required that the model structure be optimized for specific tasks and operational conditions. Such optimization can be static such as model compression or dynamic such as adaptive inference. Yet these techniques have not been fully invest…