Corpus ID: 232092921

Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition

@article{Hausler2021PatchNetVLADMF,
  title={Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition},
  author={Stephen Hausler and Sourav Garg and M. Xu and Michael Milford and Tobias Fischer},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.01486}
}
Visual Place Recognition is a challenging task for robotics and autonomous systems, which must deal with the twin problems of appearance and viewpoint change in an always changing world. This paper introduces PatchNetVLAD, which provides a novel formulation for combining the advantages of both local and global descriptor methods by deriving patch-level features from NetVLAD residuals. Unlike the fixed spatial neighborhood regime of existing local keypoint features, our method enables… Expand

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