PointNetVLAD-FiLM: Implicit ensemble implementation using FiLM-Ensemble
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Updated
Dec 31, 2022 - Python
PointNetVLAD-FiLM: Implicit ensemble implementation using FiLM-Ensemble
loader for the generic 4D radar dataset
🗺️ Place Recognition method based on radar scan images
Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer
Deep visual teach and repeat: Employing deep models for navigation based on teaching path
[ICRA24] TSCM: A Teacher-Student Model for Vision Place Recognition Using Cross-Metric Knowledge Distillation
Self-supervised place recognition by exploring temporal and feature neighborhoods
Benchmark datasets used in ICRA 2020 paper: Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations
RadarLoc: Large-Scale Topological Radar Localization Using Learned Descriptors
[IEEE RA-L 2024] This repository contains the implementation code for the paper "P-GAT : Pose-Graph Attentional Network for Lidar Place Recognition".
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis (ICCV 2019)
LiDAR Image Pretraining for Visual Place Recognition
Tool for creating optimally sized databases (containing the minimum number of frames covering the scene) for place recognition task from RGBD and LiDAR data
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity
[RA-L 2023] Official Repository of "Spectral Geometric Verification: Re-Ranking Point Cloud Retrieval for Metric Localization", RA-L, Volume 8, Issue 5, May 2023
Delta Descriptors: Visual Localization via Visual Place Recognition (VPR) where places are described using a change-based spatio-temporal representation. (RA-L & IROS 2020)
[IROS2022] Official repository of InCloud: Incremental Learning for Point Cloud Place Recognition, Published in IROS2022 https://arxiv.org/abs/2203.00807
Official Repository of "Learning Sequential Descriptors for Sequence-based Visual Place Recognition "
CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition -- ICCV 2023
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