TY - GEN
T1 - Residual pixel attention network for spectral reconstruction from RGB images
AU - Peng, Hao
AU - Chen, Xiaomei
AU - Zhao, Jie
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85090140864&partnerID=8YFLogxK
U2 - 10.1109/CVPRW50498.2020.00251
DO - 10.1109/CVPRW50498.2020.00251
M3 - Conference contribution
AN - SCOPUS:85090140864
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 2012
EP - 2020
BT - Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
PB - IEEE Computer Society
T2 - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
Y2 - 14 June 2020 through 19 June 2020
ER -