Visual Place Recognition

59 papers with code • 12 benchmarks • 10 datasets

Visual Place Recognition is the task of matching a view of a place with a different view of the same place taken at a different time.

Source: Visual place recognition using landmark distribution descriptors

Image credit: Visual place recognition using landmark distribution descriptors


Use these libraries to find Visual Place Recognition models and implementations

Most implemented papers

SuperGlue: Learning Feature Matching with Graph Neural Networks

magicleap/SuperGluePretrainedNetwork CVPR 2020

This paper introduces SuperGlue, a neural network that matches two sets of local features by jointly finding correspondences and rejecting non-matchable points.

NetVLAD: CNN architecture for weakly supervised place recognition

Relja/netvlad CVPR 2016

We tackle the problem of large scale visual place recognition, where the task is to quickly and accurately recognize the location of a given query photograph.

Visual Localization Under Appearance Change: Filtering Approaches

dadung/Visual-Localization-Filtering 20 Nov 2018

Our approaches rely on local features with an encoding technique to represent an image as a single vector.

From Coarse to Fine: Robust Hierarchical Localization at Large Scale

ethz-asl/hfnet CVPR 2019

In this paper we propose HF-Net, a hierarchical localization approach based on a monolithic CNN that simultaneously predicts local features and global descriptors for accurate 6-DoF localization.

Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition

QVPR/Patch-NetVLAD CVPR 2021

Visual Place Recognition is a challenging task for robotics and autonomous systems, which must deal with the twin problems of appearance and viewpoint change in an always changing world.

Real-Time Visual Place Recognition for Personal Localization on a Mobile Device

LRMPUT/FastABLE 7 Nov 2016

The paper presents an approach to indoor personal localization on a mobile device based on visual place recognition.

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition

mikacuy/pointnetvlad CVPR 2018

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.

G2D: from GTA to Data

dadung/G2D 16 Jun 2018

This document describes G2D, a software that enables capturing videos from Grand Theft Auto V (GTA V), a popular role playing game set in an expansive virtual city.

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis

Suoivy/LPD-net ICCV 2019

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 dynamic environments.

Adaptive-Attentive Geolocalization from few queries: a hybrid approach

valeriopaolicelli/AdAGeo 14 Oct 2020

We address the task of cross-domain visual place recognition, where the goal is to geolocalize a given query image against a labeled gallery, in the case where the query and the gallery belong to different visual domains.