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name link intern personenkennziffer 0 T. Menzner false 1 Florian Mittag https://www.hs-coburg.de/personen/prof-dr-florian-mittag/ true 2 Jochen Leidner https://www.hs-coburg.de/personen/prof-dr-jochen-leidner/ true - 0 => array (4)$post['autoren'][0]
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- titel => string (70) "Which Country Is This? Automatic Country Ranking of Street View Photos"$post['titel']
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Advances in Information Retrieval: Proceedings of the 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2-6, 2023
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<p>In this demonstration, we present Country Guesser, a live system that guesses the country that a photo is taken in. In particular, given a Google Street View image, our federated ranking model uses a combination of computer vision, machine learning and text retrieval methods to compute a ranking of likely countries of the location shown in a given image from Street View. Interestingly, using text-based features to probe large pre-trained language models can assist to provide cross-modal supervision. We are not aware of previous country guessing systems informed by visual and textual features.<br></p>
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Menzner, T.; Mittag, Florian; Leidner, Jochen L. (2023): Which Country Is This? Automatic Country Ranking of Street View Photos. Advances in Information Retrieval: Proceedings of the 45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2-6, 2023 3, S. 275–280. DOI: 10.1007/978-3-031-28241-6_26
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https://www.hs-coburg.de/publikation/3567-which-country-is-this-automatic-country-ranking-of-street-view-photos/
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Which Country Is This? Automatic Country Ranking of Street View Photos
In this demonstration, we present Country Guesser, a live system that guesses the country that a photo is taken in. In particular, given a Google Street View image, our federated ranking model uses a combination of computer vision, machine learning and text retrieval methods to compute a ranking of likely countries of the location shown in a given image from Street View. Interestingly, using text-based features to probe large pre-trained language models can assist to provide cross-modal supervision. We are not aware of previous country guessing systems informed by visual and textual features.
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T. Menzner, Florian Mittag, Jochen Leidner
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