Abstract Visual Place Recognition (VPR) estimates the location of query images by matching
them with images in a reference database. Conventional methods generally adopt …

Visual Geo-localization (VG) is the task of estimating the position where a given photo was
taken by comparing it with a large database of images of known locations. To investigate …

Visual Place Recognition (VPR) is vital for robot localization. To date, the most performant
VPR approaches are environment-and task-specific: while they exhibit strong performance …

Abstract Visual Place Recognition is a task that aims to predict the place of an image (called
query) based solely on its visual features. This is typically done through image retrieval …

Visual place recognition (VPR) is a fundamental task of computer vision for visual
localization. Existing methods are trained using image pairs that either depict the same …

Visual Place recognition is commonly addressed as an image retrieval problem. However,
retrieval methods are impractical to scale to large datasets, densely sampled from city-wide …

Abstract Visual Place Recognition is a task that aims to predict the coordinates of an image
(called query) based solely on visual clues. Most commonly, a retrieval approach is adopted …

Visual Place Recognition (VPR) is a crucial component of 6-DoF localization, visual SLAM
and structure-from-motion pipelines, tasked to generate an initial list of place match …

We introduce a method to train vision-language models for remote-sensing images without
using any textual annotations. Our key insight is to use co-located internet imagery taken on …

Over the past decade most methods in visual place recognition (VPR) have used neural
networks to produce feature representations. These networks typically produce a global …