TY - GEN
T1 - Thermal Image Super-Resolution Challenge Results - PBVS 2022
AU - Rivadeneira, Rafael E.
AU - Sappa, Angel D.
AU - Vintimilla, Boris X.
AU - Kim, Jin
AU - Kim, Dogun
AU - Yan, Bo
AU - Cao, Leilei
AU - Qi, Fengliang
AU - Wang, Hongbin
AU - Li, Zhihao
AU - Jian, Yingchun
AU - Zhao, Yongqiang
AU - Wang, Yicheng
AU - Zhang, Xuanming
AU - Wu, Rongyuan
AU - Li, Lin
AU - Sun, Lingchen
AU - Wang, Kai
AU - Wei, Huiyuan
AU - Lv, Chonghua
AU - Sun, Qigong
AU - Tian, Xiaolin
AU - Jia, Zhuang
AU - Wang, Chenyang
AU - Zhong, Zhiwei
AU - Liu, Xianming
AU - Jiang, Junjun
AU - Hu, Jiakui
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper presents results from the third Thermal Image Super-Resolution (TISR) challenge organized in the Perception Beyond the Visible Spectrum (PBVS) 2022 workshop. The challenge uses the same thermal image dataset as the first two challenges, with 951 training images and 50 validation images at each resolution. A set of 20 images was kept aside for testing. The evaluation tasks were to measure the PSNR and SSIM between the SR image and the ground truth (HR thermal noisy image downsampled by four), and also to measure the PSNR and SSIM between the SR image and the semi-registered HR image (acquired with another camera). The results outperformed those from last year's challenge, improving both evaluation metrics. This year, almost 100 teams participants registered for the challenge, showing the community's interest in this hot topic.
AB - This paper presents results from the third Thermal Image Super-Resolution (TISR) challenge organized in the Perception Beyond the Visible Spectrum (PBVS) 2022 workshop. The challenge uses the same thermal image dataset as the first two challenges, with 951 training images and 50 validation images at each resolution. A set of 20 images was kept aside for testing. The evaluation tasks were to measure the PSNR and SSIM between the SR image and the ground truth (HR thermal noisy image downsampled by four), and also to measure the PSNR and SSIM between the SR image and the semi-registered HR image (acquired with another camera). The results outperformed those from last year's challenge, improving both evaluation metrics. This year, almost 100 teams participants registered for the challenge, showing the community's interest in this hot topic.
UR - https://www.scopus.com/pages/publications/85137821306
U2 - 10.1109/CVPRW56347.2022.00057
DO - 10.1109/CVPRW56347.2022.00057
M3 - 会议稿件
AN - SCOPUS:85137821306
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 417
EP - 425
BT - Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022
PB - IEEE Computer Society
T2 - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022
Y2 - 19 June 2022 through 24 June 2022
ER -