Assessing the quality of information extraction

no code implementations • 5 Apr 2024 • Filip Seitl, Tomáš Kovářík, Soheyla Mirshahi, Jan Kryštůfek, Rastislav Dujava, Matúš Ondreička, Herbert Ullrich, Petr Gronat

In this paper, we introduce an automatic framework to assess the quality of the information extraction and its completeness.

NetVLAD: CNN architecture for weakly supervised place recognition

15 code implementations • CVPR 2016 • Relja Arandjelović, Petr Gronat, Akihiko Torii, Tomas Pajdla, Josef Sivic

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.

Image Retrieval Retrieval +1

Learning and Calibrating Per-Location Classifiers for Visual Place Recognition

no code implementations • CVPR 2013 • Petr Gronat, Guillaume Obozinski, Josef Sivic, Tomas Pajdla

The aim of this work is to localize a query photograph by finding other images depicting the same place in a large geotagged image database.

Object Recognition Two-sample testing +1