Corpus ID: 173990830

Sample-efficient image segmentation through recurrence

@article{Linsley2018SampleefficientIS,
  title={Sample-efficient image segmentation through recurrence},
  author={Drew Linsley and Junkyung Kim and David Berson},
  journal={arXiv: Computer Vision and Pattern Recognition},
  year={2018}
}
There is a growing consensus in vision science that recurrent neural networks constitute better models of visual cortex than feedforward architectures. Yet, feedforward neural networks continue to dominate most popular computer vision challenges. We bridge this gap with the Gamma-net. Inspired by recurrent feedback loops prevalent in the mammalian visual cortex, Gamma-net introduces gated recurrent dynamics through feedforward, horizontal, and top-down connections into the popular U-Net… Expand
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