AI RESEARCH
Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
arXiv CS.LG
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ArXi:2605.21372v1 Announce Type: cross Data scaling is fundamental to modern deep learning, and grows increasingly critical as autonomous driving shifts to end-to-end learning. Real-world driving data is expensive to annotate and scene-biased, making real-synthetic co-