Cross-modal place recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (10 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Place Recognition: A Comprehensive Review, Current Challenges and Future Directions
  20 May 2025 1 repository listed
  The unified framework of leading-edge place recognition methods, i.
• Bridging Text and Vision: A Multi-View Text-Vision Registration Approach for Cross-Modal Place Recognition
  20 Feb 2025 1 repository listed
  To overcome this challenge, we bridge text and vision by proposing a multiview (360{\deg} views of the surroundings) text-vision registration approach called Text4VPR for place recognition task, which is the first…
• MambaPlace:Text-to-Point-Cloud Cross-Modal Place Recognition with Attention Mamba Mechanisms
  28 Aug 2024 1 repository listed
  In the subsequent fine localization stage, the features of the text description and 3D point cloud are cross modally fused and further enhanced through cascaded Cross Attention Mamba (CCAM).
• ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place Recognition
  27 Mar 2024 1 repository listed
  Experimental results on the KITTI dataset show that our proposed methods achieve state-of-the-art performance while running in real time.
• VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition
  21 Mar 2024 1 repository listed
  To tackle this issue, we propose Voxel-Cross-Pixel (VXP), a novel camera-to-LiDAR place recognition framework that enforces local similarities in a self-supervised manner and effectively brings global context from…