Guest Editors' Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis

@article{Darrell2018GuestEI,
  title={Guest Editors' Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis},
  author={Trevor Darrell and Christoph H. Lampert and N. Sebe and Ying Wu and Yan Yan},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={2018},
  volume={40},
  pages={1029-1031}
}
The twelve papers in this special section focus on learning systems with shared information for computer vision and multimedia communication analysis. In the real world, a realistic setting for computer vision or multimedia recognition problems is that we have some classes containing lots of training data and many classes containing a small amount of training data. Therefore, how to use frequent classes to help learning rare classes for which it is harder to collect the training data is an open… 
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