Testing Deep Neural Networks on the Same-Different Task

  title={Testing Deep Neural Networks on the Same-Different Task},
  author={Nicola Messina and Giuseppe Amato and Fabio Carrara and Fabrizio Falchi and Claudio Gennaro},
  journal={2019 International Conference on Content-Based Multimedia Indexing (CBMI)},
Developing abstract reasoning abilities in neural networks is an important goal towards the achievement of human-like performances on many tasks. As of now, some works have tackled this problem, developing ad-hoc architectures and reaching overall good generalization performances. In this work we try to understand to what extent state-of-the-art convolutional neural networks for image classification are able to deal with a challenging abstract problem, the so-called same-different task. This… CONTINUE READING

Figures, Tables, and Topics from this paper.