An integrated network for invariant visual detection and recognition

@article{Amit2003AnIN,
  title={An integrated network for invariant visual detection and recognition},
  author={Yali Amit and Massimo Mascaro},
  journal={Vision Research},
  year={2003},
  volume={43},
  pages={2073-2088}
}
We describe an architecture for invariant visual detection and recognition. Learning is performed in a single central module. The architecture makes use of a replica module consisting of copies of retinotopic layers of local features, with a particular design of inputs and outputs, that allows them to be primed either to attend to a particular location, or to attend to a particular object representation. In the former case the data at a selected location can be classified in the central module… CONTINUE READING

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