Structured Set Matching Networks for One-Shot Part Labeling

@article{Choi2017StructuredSM,
  title={Structured Set Matching Networks for One-Shot Part Labeling},
  author={Jonghyun Choi and Jayant Krishnamurthy and Aniruddha Kembhavi and Ali Farhadi},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2017},
  pages={3627-3636}
}
Diagrams often depict complex phenomena and serve as a good test bed for visual and textual reasoning. However, understanding diagrams using natural image understanding approaches requires large training datasets of diagrams, which are very hard to obtain. Instead, this can be addressed as a matching problem either between labeled diagrams, images or both. This problem is very challenging since the absence of significant color and texture renders local cues ambiguous and requires global… CONTINUE READING
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