Residual pixel attention network for spectral reconstruction from RGB images

Hao Peng, Xiaomei Chen, Jie Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

34 Citations (Scopus)

Abstract

In recent years, hyperspectral reconstruction based on RGB imaging has made significant progress of deep learning, which greatly improves the accuracy of the reconstructed hyperspectral images. In this paper, we proposed a convolution neural network of the hyperspectral reconstruction from a single RGB image, called Residual Pixel Attention Network (RPAN). Specifically, we proposed a Pixel Attention (PA) module, which was applied to each pixel of all feature maps, to adaptively rescale pixel-wise features in all feature maps. The RPAN was trained on the hyperspectral dataset provided by NTIRE 2020 Spectral Reconstruction Challenge and compared with previous state-of-the-art method HSCNN+. The results showed our RPAN network had achieved superior performance in terms of MRAE and RMSE.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
PublisherIEEE Computer Society
Pages2012-2020
Number of pages9
ISBN (Electronic)9781728193601
DOIs
Publication statusPublished - Jun 2020
Event2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020 - Virtual, Online, United States
Duration: 14 Jun 202019 Jun 2020

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume2020-June
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Conference

Conference2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
Country/TerritoryUnited States
CityVirtual, Online
Period14/06/2019/06/20

Fingerprint

Dive into the research topics of 'Residual pixel attention network for spectral reconstruction from RGB images'. Together they form a unique fingerprint.

Cite this

Peng, H., Chen, X., & Zhao, J. (2020). Residual pixel attention network for spectral reconstruction from RGB images. In Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020 (pp. 2012-2020). Article 9151051 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2020-June). IEEE Computer Society. https://doi.org/10.1109/CVPRW50498.2020.00251