Siamese Neural Networks for One-Shot Image Recognition

  title={Siamese Neural Networks for One-Shot Image Recognition},
  author={Gregory Koch},
  • Gregory Koch
  • Published 2015
The process of learning good features for machine learning applications can be very computationally expensive and may prove difficult in cases where little data is available. A prototypical example of this is the one-shot learning setting, in which we must correctly make predictions given only a single example of each new class. In this paper, we explore a method for learning siamese neural networks which employ a unique structure to naturally rank similarity between inputs. Once a network has… CONTINUE READING
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