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Pre-trained Pytorch Models used for IEEE Signal Processing Letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers'

  • Matthew Aquilina (Creator)
  • Christian Galea (Creator)
  • John Abela (Creator)
  • Kenneth Camilleri (Creator)
  • Reuben Farrugia (Creator)

Dataset

Description

This collection contains all the pre-trained model weights used to produce the results in our paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers' (link here). Instructions on how to use these models is provided in our Github repo here.

Data Citation

Aquilina, M., Galea, C., Abela, J., Camilleri, K., & Farrugia, R. (2021). Pre-trained Pytorch Models used for IEEE Signal Processing Letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers'. Zenodo. https://doi.org/10.5281/zenodo.5551061
Date made available5 Oct 2021
PublisherZenodo

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