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Found 3 papers, 1 papers with code
VNI-Net: Vector Neurons-based Rotation-Invariant Descriptor for LiDAR Place Recognition
To address the significant information loss when formulating rotation-invariant descriptors, we propose computing distances between features at different layers within the Euclidean space neighborhood.
Computational Efficiency
Simultaneous Localization and Mapping
Learning Sequence Descriptor based on Spatio-Temporal Attention for Visual Place Recognition
Visual Place Recognition (VPR) aims to retrieve frames from a geotagged database that are located at the same place as the query frame.
Patch-NetVLAD+: Learned patch descriptor and weighted matching strategy for place recognition
Visual Place Recognition (VPR) in areas with similar scenes such as urban or indoor scenarios is a major challenge.
