Localization is an essential capability for mobile robots. A rapidly growing field of research in
this area is Visual Place Recognition (VPR), which is the ability to recognize previously seen …

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 …

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 …

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 …

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 …

Abstract Visual Place Recognition (VPR) is a crucial component of many visual localization
pipelines for embodied agents. VPR is often formulated as an image retrieval task aimed at …

In visual place recognition accurately identifying and matching images of locations under
varying environmental conditions and viewpoints remains a significant challenge. In this …

Accurately recognizing a revisited place is crucial for embodied agents to localize and
navigate. This requires visual representations to be distinct, despite strong variations in …

Image completion is a research field which aims to generate visual contents for unknown
regions of an image. Image outpainting and wide-range image blending, which we refer to …

Visual place recognition (VPR) aims to determine the general geographical location of a
query image by retrieving visually similar images from a large geo-tagged database. To …