Combining multiple sources of knowledge in deep CNNs for action recognition

@article{Park2016CombiningMS,
  title={Combining multiple sources of knowledge in deep CNNs for action recognition},
  author={Eunbyung Park and Xufeng Han and Tamara L. Berg and Alexander C. Berg},
  journal={2016 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year={2016},
  pages={1-8}
}
Although deep convolutional neural networks (CNNs) have shown remarkable results for feature learning and prediction tasks, many recent studies have demonstrated improved performance by incorporating additional handcrafted features or by fusing predictions from multiple CNNs. Usually, these combinations are implemented via feature concatenation or by averaging output prediction scores from several CNNs. In this paper, we present new approaches for combining different sources of knowledge in… CONTINUE READING
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