Intelligent Efficient Super-Resolution (ESR) Challenge @ ITEC'2023

Evaluation Criteria

The evaluation consists of the PSNR value of the x4 super-resolved images with the ground truth images and the reporting of the number of parameters (memory) and inference time / runtime of the solution. We will rely on self-reported number of parameters and runtime / inference time in the validation phase, while for the final test phase ranking the challenge organizers will check and run the provided solutions and compute the measures, such as runtime, parameters, FLOPs, activations, and depths.

Only deep learned solutions working with PyTorch are sought. Other solutions will be accepted but will not be officially ranked.

For submitting the results, you need to follow these steps:

1. process the input images and keep the same name for the output image results as produced by your method (example: for an input file with name "083.png" the output file should be "083.png"). Note that the output images should be saved with lossless compression and should have the pixel size of the input images x16.
2. create a ZIP archive containing all the output image results named as above and a readme.txt Note that the archive should not include folders, all the images/files should be in the root of the archive. To create the ZIP archive, select the 100 images and the readme.txt file under your root folder directly, right click your mouse, and select "Compression".
3. the readme.txt file should contain the following lines filled in with the runtime per image (in seconds) of the solution, the number of model parameters, and 1 or 0 if employs extra data for training the models or not.
   Runtime per image [s] : 0.04197
   Parameters : 433448
   Extra Data [1] / No Extra Data [0] : 1
   Other description : Model name: RFDN; GPU: Titan Xp; Extra data: LSDIR

The last part of the file can have any description you want about the code producing the provided results (dependencies, link, scripts, etc.) The provided information is very important both during the validation period when different teams can compare their results / solutions but also for establishing the final ranking of the teams and their methods.

Intelligent Efficient Super-Resolution (ESR) Challenge @ ITEC'2023

Terms and Conditions

You are eligible to register and compete in the AI competition only if you meet all the following requirements:

• You are an individual or a team of people willing to contribute to the AI challenge.
• You are not involved in any part of the administration and execution of this AI competition.
• You are not an ITEC challenge organizer.
• You are not involved in any part of the administration and execution of this AI competition.
• You are not a first-degree relative, partner, household member of ITEC organizer or of a person involved in any part of the administration and execution of this competition.