3D Place Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

20 shown of 20 papers with code (27 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.

• PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
  10 Apr 2018 6 repositories listed
  This is largely due to the difficulty in extracting local feature descriptors from a point cloud that can subsequently be encoded into a global descriptor for the retrieval task.
• LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis
  11 Dec 2018 2 repositories listed
  Point cloud based place recognition is still an open issue due to the difficulty in extracting local features from the raw 3D point cloud and generating the global descriptor, and it's even harder in the large-scale…
• RE-TRIP : Reflectivity Instance Augmented Triangle Descriptor for 3D Place Recognition
  22 May 2025 1 repository listed
  In this paper, we propose a novel descriptor for 3D PR, named RE-TRIP (REflectivity-instance augmented TRIangle descriPtor).
• 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.
• ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images
  6 Mar 2025 1 repository listed
  We hypothesize that a set of cross-sectional images of the forest's geometry at different heights contains the information needed to recognize revisiting a place.
• SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments
  22 Oct 2024 1 repository listed
  In this work, we address this challenge by introducing SPVSoAP3D, a novel modeling approach that combines a voxel-based feature extraction network with an aggregation technique based on a second-order average pooling…
• SALSA: Swift Adaptive Lightweight Self-Attention for Enhanced LiDAR Place Recognition
  11 Jul 2024 1 repository listed
  Large-scale LiDAR mappings and localization leverage place recognition techniques to mitigate odometry drifts, ensuring accurate mapping.
• CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition
  31 Mar 2023 1 repository listed Syntology ran 11 of 15 samples · 4 unverified
  We present CrossLoc3D, a novel 3D place recognition method that solves a large-scale point matching problem in a cross-source setting.
• STD: Stable Triangle Descriptor for 3D place recognition
  26 Sep 2022 1 repository listed
  For a triangle, its shape is uniquely determined by the length of the sides or included angles.
• Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
  2 Mar 2022 1 repository listed
  The paper presents a simple and effective learning-based method for computing a discriminative 3D point cloud descriptor for place recognition purposes.
• MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity
  13 Dec 2021 1 repository listed
  The 3D LiDAR place recognition aims to estimate a coarse localization in a previously seen environment based on a single scan from a rotating 3D LiDAR sensor.
• LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition
  17 Sep 2021 1 repository listed
  Experiments on two large-scale public benchmarks (KITTI and MulRan) show that our method achieves mean F1ₘₐₓ scores of $0.
• TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields
  25 May 2021 1 repository listed
  Place recognition plays an essential role in the field of autonomous driving and robot navigation.
• MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
  12 Apr 2021 1 repository listed Syntology ran 2 of 5 samples · 3 unverified
  We also identify dominating modality problem when training a multimodal descriptor.
• Pyramid Point Cloud Transformer for Large-Scale Place Recognition
  1 Jan 2021 1 repository listed
  In order to obtain discriminative global descriptors, we construct a pyramid VLAD module to aggregate the multi-scale feature maps of point clouds into the global descriptors.
• A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition
  9 Dec 2020 1 repository listed
  In the field of large-scale SLAM for autonomous driving and mobile robotics, 3D point cloud based place recognition has aroused significant research interest due to its robustness to changing environments with drastic…
• SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
  24 Nov 2020 1 repository listed
  We tackle the problem of place recognition from point cloud data and introduce a self-attention and orientation encoding network (SOE-Net) that fully explores the relationship between points and incorporates long-range…
• MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
  9 Nov 2020 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Thus, state-of-the-art methods enhance vanilla PointNet architecture by adding different mechanism to capture local contextual information, such as graph convolutional networks or using hand-crafted features.
• DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
  17 Jul 2020 1 repository listed
  We generate the global descriptor by directly aggregating the learned local descriptors with an effective attention mechanism.
• PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
  22 Apr 2019 1 repository listed
  Point cloud based retrieval for place recognition is an emerging problem in vision field.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.