Visual Place Recognition

98 papers with code • 27 benchmarks • 19 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

Emerging Properties in Self-Supervised Vision Transformers

facebookresearch/dino ICCV 2021

In this paper, we question if self-supervised learning provides new properties to Vision Transformer (ViT) that stand out compared to convolutional networks (convnets).

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.

DINOv2: Learning Robust Visual Features without Supervision

facebookresearch/dinov2 14 Apr 2023

The recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in computer vision.

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.

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.

EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition

gmberton/eigenplaces ICCV 2023

Visual Place Recognition is a task that aims to predict the place of an image (called query) based solely on its visual features.

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.