Thermal Image Super-Resolution Challenge Results - PBVS 2024
Abstract
This paper outlines the advancements and results of the Fifth Thermal Image Super-Resolution challenge, hosted at the Perception Beyond the Visible Spectrum CVPR 2024 workshop. The challenge employed a novel benchmark cross-spectral dataset consisting of 1000 thermal images, each paired with its corresponding registered RGB image. The challenge featured two tracks: Track-1 focused on Single Thermal Image Super-Resolution with an ×8 upscale factor, while Track-2 extended its evaluation to include both ×8 and ×16 scaling factors, utilizing high-resolution RGB images to guide the super-resolution process for low-resolution thermal images. The participation of over 175 teams highlights the research community’s strong engagement and dedication to enhancing image resolution techniques across both single and cross-spectral methodologies. This year’s challenge sets new benchmarks and provides valuable insights into future directions for research in thermal image super-resolution.
Cite
Text
Rivadeneira et al. "Thermal Image Super-Resolution Challenge Results - PBVS 2024." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024. doi:10.1109/CVPRW63382.2024.00317Markdown
[Rivadeneira et al. "Thermal Image Super-Resolution Challenge Results - PBVS 2024." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024.](https://mlanthology.org/cvprw/2024/rivadeneira2024cvprw-thermal/) doi:10.1109/CVPRW63382.2024.00317BibTeX
@inproceedings{rivadeneira2024cvprw-thermal,
title = {{Thermal Image Super-Resolution Challenge Results - PBVS 2024}},
author = {Rivadeneira, Rafael E. and Sappa, Angel Domingo and Wang, Chenyang and Jiang, Junjun and Zhong, Zhiwei and Chen, Peilin and Wang, Shiqi},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2024},
pages = {3113-3122},
doi = {10.1109/CVPRW63382.2024.00317},
url = {https://mlanthology.org/cvprw/2024/rivadeneira2024cvprw-thermal/}
}