The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
Open accessAbstract
Hyperspectral image (HSI) reconstruction aims to recover the 3D spatial-spectral signal from a 2D measurement in the coded aperture snapshot spectral imaging (CASSI) system. The HSI representations are highly similar and correlated across the spectral dimension. Modeling the inter-spectra interactions is beneficial for HSI reconstruction. However, existing CNN-based methods show limitations in capturing spectral-wise similarity and long-range dependencies. Besides, the HSI information is modulated by a coded aperture (physical mask) in CASSI. Nonetheless, current algorithms have not fully explored the guidance effect of the mask for HSI restoration. In this paper, we propose a novel framework, Mask-guided Spectral-wise Transformer (MST), for HSI reconstruction. Specifically, we present a Spectral-wise Multi-head Self-Attention (S-MSA) that treats each spectral feature as a token and calculates self-attention along the spectral dimension. In addition, we customize a Mask-guided Mechanism (MM) that directs S- MSA to pay attention to spatial regions with high-fidelity spectral representations. Extensive experiments show that our MST significantly outperforms state-of-the-art (SOTA) methods on simulation and real HSI datasets while requiring dramatically cheaper computational and memory costs. https://github.com/caiyuanhao1998/MST/
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Self-citationTreEnhance: A tree search method for low-light image enhancement
Cotogni, M., & Cusano, C. (2023) · Pattern Recognition · doi:10.1016/j.patcog.2022.109249 · Cited by 40
Metadata
- Authors
- Cai, Y., Lin, J., Hu, X., Wang, H., Yuan, X., Zhang, Y., Timofte, R., & Van Gool, L.
- Venue
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Publisher
- IEEE
- Published
- 2022-06
- Pages
- 17481-17490
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W4226277663
- Cited by
- 353
- References
- 55
- FWCI
- 58.89
- Type
- conference paper
- Language
- en
- Open access
- green
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- Cai, Y., Lin, J., Hu, X., Wang, H., Yuan, X., Zhang, Y., Timofte, R., & Van Gool, L. (2022). Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/cvpr52688.2022.01698
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