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Found 4 papers, 1 papers with code
MVC-VPR: Mutual Learning of Viewpoint Classification and Visual Place Recognition
Previous work proposes classifying images based on manually defined rules or ground truth labels for viewpoints, followed by descriptor training based on the classification results.
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.
