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Training self-driving policies directly from perspective images can rival traditional methods that rely on privileged data, achieving impressive zero-shot transfer performance.
Franca leapfrogs proprietary vision models like DINOv2 and CLIP, proving open-source can win on performance and transparency in visual representation learning.
Video pre-training can drive autonomous vehicles, but scaling model size doesn't always guarantee safer closed-loop driving.
