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A training-free feature adjustment pipeline unlocks the power of Visual Geometry Grounded Transformers for stereo vision, achieving state-of-the-art results on KITTI.
Autonomous vehicles can now leverage the rich semantic understanding of VLMs for safer driving without the computational overhead, thanks to a clever training strategy that distills VLM knowledge into a real-time RL policy.
