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SparseNav: Instruction-conditioned Sparse Semantic Perception for Training-Free Vision-Language Navigation

Chen, Quanhua et al.
arXiv (All) · Papers
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robotics
Map-based vision-language navigation (VLN) relies on persistent spatial representations to connect language understanding with geometric planning. However, acquiring semantics beyond the needs of the current instruction can introduce unnecessary perception cost and irrelevant annotations. Continuous
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