ParseNet: Looking Wider to See Better

  title={ParseNet: Looking Wider to See Better},
  author={Wei Liu and Andrew Rabinovich and Alexander C. Berg},
We present a technique for adding global context to fully convolutional networks for semantic segmentation. The approach is simple, using the average feature for a layer to augment the features at each location. In addition, we study several idiosyncrasies of training, significantly increasing the performance of baseline networks (e.g. from FCN Long et al. (2014)). When we add our proposed global feature, and a technique for learning normalization parameters, accuracy increases consistently… CONTINUE READING
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The role of context for object detection and semantic segmentation in the wild

  • Mottaghi, Roozbeh, +13 authors Alan
  • In CVPR,
  • 2014
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