Thermal Image Super-Resolution Challenge Results - PBVS 2023

Rafael E. Rivadeneira, Angel D. Sappa, Boris X. Vintimilla, Dai Bin, Li Ruodi, Li Shengye, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Chenyang Wang; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 470-478

Abstract


This paper presents the results of two tracks from the fourth Thermal Image Super-Resolution (TISR) challenge, held at the Perception Beyond the Visible Spectrum (PBVS) 2023 workshop. Track-1 uses the same thermal image dataset as previous challenges, with 951 training images and 50 validation images at each resolution. In this track, two evaluations were conducted: the first consists of generating a SR image from a HR thermal noisy image downsampled by four, and the second consists of generating a SR image from a mid-resolution image and compare it with its semi-registered HR image (acquired with another camera). The results of Track-1 outperformed those from last year's challenge. On the other hand, Track-2 uses a new acquired dataset consisting of 160 registered visible and thermal images of the same scenario for training and 30 validation images. This year, more than 150 teams participated in the challenge tracks, demonstrating the community's ongoing interest in this topic.

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[bibtex]
@InProceedings{Rivadeneira_2023_CVPR, author = {Rivadeneira, Rafael E. and Sappa, Angel D. and Vintimilla, Boris X. and Bin, Dai and Ruodi, Li and Shengye, Li and Zhong, Zhiwei and Liu, Xianming and Jiang, Junjun and Wang, Chenyang}, title = {Thermal Image Super-Resolution Challenge Results - PBVS 2023}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {470-478} }