Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
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Updated
May 21, 2024 - Python
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
AnyLoc: Universal Visual Place Recognition (RA-L 2023)
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018
[ECCV-2020 (spotlight)] Self-supervising Fine-grained Region Similarities for Large-scale Image Localization. 🌏 PyTorch open-source toolbox for image-based localization (place recognition).
Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"
MixVPR: Feature Mixing for Visual Place Recognition (WACV 2023)
Convolutional Autoencoder for Loop Closure
Implementation of IROS20 paper - "Semantic Graph Based Place Recognition for 3D Point Clouds"
Official code for CVPR 2022 (Oral) paper "Deep Visual Geo-localization Benchmark"
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
[ICRA 2021] This repository contains the code for "Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling".
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
[ICRA 2022] The official repository for "LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition", In 2022 International Conference on Robotics and Automation (ICRA), pp. 2215-2221.
Automatic download VPR datasets in a standard format
SeqNet: Code for the RA-L (ICRA) 2021 paper "SeqNet: Learning Descriptors for Sequence-Based Hierarchical Place Recognition"
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea
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"
Differentiable Scan Context with Orientation
(RSS 2018) LoST - Visual Place Recognition using Visual Semantics for Opposite Viewpoints across Day and Night
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