February 23rd, 2021 
Daniela Lopez de Luise https://pbvs-workshop.github.io/
June 2021
Virtual
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Important Dates
- Registration open & dataset released: January 18, 2021
- Evaluation images distributed: March 2, 2021
- Deadline for challenge & result submitted: March 12, 2021
- Winner announcement: June 19, 2021
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Objective & Scope
The thermal image super-resolution (TISR) problem has become an attractive research topic in recent years, mainly due to the appealing results obtained with recent deep learning-based approaches. In order to define a common benchmark for evaluating the different contributions, the first challenge on TISR has been proposed at the PBVS-2020 workshop. Due to the success of that first challenge, and trying to keep improving the obtained results, this year the second challenge on TISR is proposed in the framework of the PBVS-2021 workshop.
The challenge stated for this year consists in obtaining super-resolution images at x2 and x4 scales from the given images.
Just the mid- and high-resolution images from last year's dataset will be considered. Ground truth images for the x4 scale correspond to the provided high-resolution images; in other words, each team should down-sample the given images by x4 and use these down-sampled images (by adding noise) as inputs to develop their solutions. Regarding the x2 super-resolution solution, it should be developed using as an input the given mid-resolution images acquired with the camera Axis Q2901-E and as an output, the corresponding high-resolution images, of the same scene, but acquired with the FLIR FC-632O camera. In other words, the x2 scale proposed solution should be able to tackle both problems, i.e., generating the super-resolution of the images acquired with the camera Axis Q2901-E camera; as well as mapping images from one domain (Axis Q2901-E camera) to another domain (FLIR FC-632O camera).
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