2026
Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems
CVPR 2026
Large-scale deep learning models for physical AI applications depend on diverse training data collection efforts. These models and correspondingly, the training data, must address the different evaluation criteria necessary for the models to be deployable in real-world environments. Data selection p