Deep Learning to See: Towards New Foundations of Computer Vision

@article{Betti2022DeepLT,
  title={Deep Learning to See: Towards New Foundations of Computer Vision},
  author={Alessandro Betti and Marco Gori and Stefano Melacci},
  journal={Deep Learning to See},
  year={2022}
}
The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this book criticizes the supposed scientific progress in the field and proposes the investigation of vision within the framework of information-based laws of nature. Specifically, the present work poses fundamental questions about vision… 

References

Boult . Towards open set deep networks

  • Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition ( CVPR )