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  Hard to Cheat: A Turing Test based on Answering Questions about Images

Malinowski, M., & Fritz, M. (in press). Hard to Cheat: A Turing Test based on Answering Questions about Images. In Twenty-Ninth AAAI Conference on Artificial Intelligence W6, Beyond the Turing Test.

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Genre: Konferenzbeitrag
Latex : Hard to Cheat: {A} Turing Test based on Answering Questions about Images

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arXiv:1501.03302.pdf (beliebiger Volltext), 37KB
 
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 Urheber:
Malinowski, Mateusz1, Autor           
Fritz, Mario1, Autor           
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              

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Schlagwörter: Computer Science, Artificial Intelligence, cs.AI,Computer Science, Computation and Language, cs.CL,Computer Science, Computer Vision and Pattern Recognition, cs.CV,Computer Science, Learning, cs.LG
 Zusammenfassung: Progress in language and image understanding by machines has sparkled the interest of the research community in more open-ended, holistic tasks, and refueled an old AI dream of building intelligent machines. We discuss a few prominent challenges that characterize such holistic tasks and argue for "question answering about images" as a particular appealing instance of such a holistic task. In particular, we point out that it is a version of a Turing Test that is likely to be more robust to over-interpretations and contrast it with tasks like grounding and generation of descriptions. Finally, we discuss tools to measure progress in this field.

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Sprache(n): eng - English
 Datum: 2014
 Publikationsstatus: Angenommen
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 Identifikatoren: arXiv: 1501.03302
BibTex Citekey: MalinowskiAAAIWS9
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Veranstaltung

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Titel: Twenty-Ninth AAAI Conference on Artificial Intelligence Workshop 6: Beyond the Turing Test
Veranstaltungsort: Austin, TX
Start-/Enddatum: 2015-01-25 - 2015-01-25

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Titel: Twenty-Ninth AAAI Conference on Artificial Intelligence W6, Beyond the Turing Test
  Kurztitel : AAAI 2015 W6
Genre der Quelle: Konferenzband
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