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Deep Adaptive Wavelet Network
[article]
2019
arXiv
pre-print
Even though convolutional neural networks have become the method of choice in many fields of computer vision, they still lack interpretability and are usually designed manually in a cumbersome trial-and-error process. This paper aims at overcoming those limitations by proposing a deep neural network, which is designed in a systematic fashion and is interpretable, by integrating multiresolution analysis at the core of the deep neural network design. By using the lifting scheme, it is possible to
arXiv:1912.05035v1
fatcat:mhrhzts3bzct3kfatwrtxmbaxu