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visual relationship detection database

visual relationship detection database

Scene:

Action/Event Detection

Data Type:

2D Box,Pose
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Stanford University

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Data Preview ? 2.16M

    Data Structure ?

    *数据结构实际以真实数据为准

    To benchmark progress in visual relationship detection, we also introduce a new dataset containing 5000 images with 37,993 thousand relationships. THe dataset contains 100 object categories and 70 predicate categories connecting those objects together. Predicates can be widely categorized into the 5 following types:

    Example Results

    What the predictions from the model looks like.
    Browse more results on using our demo using our github code.

    Content based Image Retrieval

    By understanding the relationships between objects in images, we show that our model can outperform existing image retrieval models that use SIFT, CNN or Visual Phrase features.


    Bibtex

    @inproceedings{lu2016visual,
      title={Visual Relationship Detection with Language Priors},
      author={Lu, Cewu and Krishna, Ranjay and Bernstein, Michael and Fei-Fei, Li},
      booktitle={European Conference on Computer Vision},
      year={2016}
      }


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