TY - GEN
T1 - Thermal Image Super-Resolution Challenge Results - PBVS 2024
AU - Rivadeneira, Rafael E.
AU - Sappa, Angel D.
AU - Wang, Chenyang
AU - Jiang, Junjun
AU - Zhong, Zhiwei
AU - Chen, Peilin
AU - Wang, Shiqi
PY - 2024
Y1 - 2024
N2 - 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. © 2024 IEEE.
AB - 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. © 2024 IEEE.
UR - http://www.scopus.com/inward/record.url?scp=85201463802&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85201463802&origin=recordpage
U2 - 10.1109/CVPRW63382.2024.00317
DO - 10.1109/CVPRW63382.2024.00317
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 979-8-3503-6548-1
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 3113
EP - 3122
BT - Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
PB - IEEE
T2 - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2024)
Y2 - 16 June 2024 through 22 June 2024
ER -