Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction

@inproceedings{Herzig2018MappingIT,
  title={Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction},
  author={Roei Herzig and Moshiko Raboh and Gal Chechik and Jonathan Berant and Amir Globerson},
  booktitle={NeurIPS},
  year={2018}
}
Machine understanding of complex images is a key goal of artificial intelligence. One challenge underlying this task is that visual scenes contain multiple interrelated objects, and that global context plays an important role in interpreting the scene. A natural modeling framework for capturing such effects is structured prediction, which optimizes over complex labels, while modeling within-label interactions. However, it is unclear what principles should guide the design of a structured… CONTINUE READING
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