Published December 28, 2022 | Version v1
Software Open

Pre-trained Pytorch Models used for MDPI Sensors paper titled 'The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks'

  • 1. University of Edinburgh/University of Malta
  • 2. Ascent Software/University of Malta
  • 3. University of Malta

Description

This collection contains all the pre-trained model weights used to produce the results in our paper titled 'The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks' (link here).  Instructions on how to use these models is provided in our Github repo here.  

Notes

These models were produced as part of the Deep-FIR project, which is financed by the Malta Council for Science & Technology (MCST) (grant number R&I-2017-002-T), for and on behalf of the Foundation for Science & Technology, through the FUSION: R&I Technology Development Programme.

Files

all_contrastive_encoders.zip

Files (18.9 GB)

Name Size Download all
md5:84ceb74173f9e73ee378ba949253d580
215.2 MB Preview Download
md5:0e56b31ea818f7e921e56f93527c16bb
4.1 GB Preview Download
md5:5b4b167fca3d7ead23421f1b15dc5ba7
1.6 GB Preview Download
md5:92a1b23a43d3e48e20316fc2c669da4c
3.1 GB Preview Download
md5:c46d7ad8bd27a0ff539283a287d2134a
1.4 GB Preview Download
md5:bc8bf5bedb0ed581c9aaeee6b09aa7fb
4.0 GB Preview Download
md5:e7a48019e59b3d627a6363e8c5af8d9d
4.5 GB Preview Download