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Monotone Cost Ranking drastically improves planning accuracy, enabling state-of-the-art performance in image-goal navigation tasks.
Smaller, fine-tuned models can outperform larger counterparts by 30% when trained to focus on planning-critical occlusions in autonomous driving scenarios.
