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EQA stands for Embodied Question Answering, and is a visual question answering dataset based on House3D. After receiving a question, an agent at any position in the environment can find useful information in the environment and answer the question. For example: Q: What color is the car? In order to answer this question, the agent must first explore the environment through intelligent navigation, collect necessary visual information from a first-person perspective, and then answer the question: orange.

EQA.torrent
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  • EQA/
    • README.md
      1.13 KB
    • README.txt
      2.26 KB
      • data/
        • eqa.zip
          839.6 KB

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EQA Question Answering Dataset | Datasets | HyperAI