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GuessWhat ?! Visual object discovery through multi-modal dialogue

GuessWhat?! is a dataset and methodology for learning natural language acquisition through interaction on a visual task. It involves high-level image understanding, including spatial reasoning and language grounding. The dataset includes images and dialogue, making it the first large-scale dataset of its kind.

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GuessWhat ?! Visual object discovery through multi-modal dialogue

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  1. GuessWhat?! Visual object discovery through multi-modal dialogue Harm de Vries , Florian Strub, SarathChandar, Olivier Pietquin, Hugo Larochelle, Aaron Courville

  2. Motivation • Learn to acquire natural language by interaction on a visual task • First large-scale dataset involving images and dialogue. • Requires high-level image understanding, like spatial reasoning and language grounding

  3. Oracle Model

  4. Oracle Model

  5. Guesser Model

  6. Guesser Model

  7. Question Generator

  8. Question Generator

  9. Critique -All information about image is useless in the guesser model -Using two trained models to evaluate Question Generator -Access to object list -When to guess? -More baselines -Unseen object categories -Unrealistic task

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