Corpus ID: 18321045

Towards Good Practices for Very Deep Two-Stream ConvNets

@article{Wang2015TowardsGP,
  title={Towards Good Practices for Very Deep Two-Stream ConvNets},
  author={L. Wang and Yuanjun Xiong and Zhe Wang and Yu Qiao},
  journal={ArXiv},
  year={2015},
  volume={abs/1507.02159}
}
  • L. Wang, Yuanjun Xiong, +1 author Yu Qiao
  • Published 2015
  • Computer Science
  • ArXiv
  • Deep convolutional networks have achieved great success for object recognition in still images. However, for action recognition in videos, the improvement of deep convolutional networks is not so evident. We argue that there are two reasons that could probably explain this result. First the current network architectures (e.g. Two-stream ConvNets) are relatively shallow compared with those very deep models in image domain (e.g. VGGNet, GoogLeNet), and therefore their modeling capacity is… CONTINUE READING
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