✨MG-Nav: Dual-Scale Visual Navigation via Sparse Spatial Memory
📝 Summary:
MG-Nav is a dual-scale framework for zero-shot visual navigation, unifying global memory-guided planning via a Sparse Spatial Memory Graph with local geometry-enhanced control using a VGGT-adapter. It achieves state-of-the-art performance and robustness in unseen environments.
🔹 Publication Date: Published on Nov 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.22609
• PDF: https://arxiv.org/pdf/2511.22609
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#VisualNavigation #Robotics #AI #ComputerVision #ZeroShotLearning
📝 Summary:
MG-Nav is a dual-scale framework for zero-shot visual navigation, unifying global memory-guided planning via a Sparse Spatial Memory Graph with local geometry-enhanced control using a VGGT-adapter. It achieves state-of-the-art performance and robustness in unseen environments.
🔹 Publication Date: Published on Nov 27
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.22609
• PDF: https://arxiv.org/pdf/2511.22609
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#VisualNavigation #Robotics #AI #ComputerVision #ZeroShotLearning