ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
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Aug 25, 2024 - Python
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
A curated list of Place Recognition methods, datasets, and various algorithms for LiDAR
Uses Unreal Engine & Cesium to generate large synthetic dataset from 3D meshes. Enables machine learning tasks like Visual Place Recognition read more in our paper on this: https://meshvpr.github.io
Code for our IEEE RAL + ICRA 2022 paper "Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments", and our ICRA2023 paper "Ensembles of Compact, Region-specific & Regularized Spiking Neural Networks for Scalable Place Recognition"
[ICRA24] TSCM: A Teacher-Student Model for Vision Place Recognition Using Cross-Metric Knowledge Distillation
ICRA 2021 - Robust Place Recognition using an Imaging Lidar
[RAL/IROS 2022] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.
Implementation of IROS20 paper - "Semantic Graph Based Place Recognition for 3D Point Clouds"
[TII 2023] A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.
loader for the generic 4D radar dataset
Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer
Automatic download VPR datasets in a standard format
Delta Descriptors: Visual Localization via Visual Place Recognition (VPR) where places are described using a change-based spatio-temporal representation. (RA-L & IROS 2020)
Benchmark datasets used in ICRA 2020 paper: Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded Representations
CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition -- ICCV 2023
MixVPR: Feature Mixing for Visual Place Recognition (WACV 2023)
Benchmarking and evaluation framework for place recognition methods, featuring SuperPoint+SuperGlue, LoGG3D-Net, Scan Context, DBoW2, MixVPR, STD
[ICRA 2021] This repository contains the code for "Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling".
Easily download and evaluate pre-trained Visual Place Recognition methods. Code built for the ICCV 2023 paper "EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition"
Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"
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