Abstract Visual Place Recognition (VPR) is a crucial part of mobile robotics and autonomous
driving as well as other computer vision tasks. It refers to the process of identifying a place …

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 …

Abstract 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 …

Abstract Domain adaptive object re-ID aims to transfer the learned knowledge from the
labeled source domain to the unlabeled target domain to tackle the open-class re …

Unsupervised person re-identification (ReID) aims at learning discriminative identity features
without annotations. Recently, self-supervised contrastive learning has gained increasing …

This paper aims to investigate representation learning for large scale visual place
recognition, which consists of determining the location depicted in a query image by …

Visual place recognition is a challenging task for applications such as autonomous driving
navigation and mobile robot localization. Distracting elements presenting in complex scenes …