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HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search
Di Wang, Bo Du, Liangpei Zhang +1
Recent neural architecture search (NAS) based approaches have made great progress in hyperspectral image (HSI) classification tasks. However, the architectures are usually optimize…
VTAE: Variational Transformer Autoencoder with Manifolds Learning
Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou +2
Deep generative models have demonstrated successful applications in learning non-linear data distributions through a number of latent variables and these models use a nonlinear fun…
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration
Yuchun Miao, Lefei Zhang, Liangpei Zhang +1
Diffusion models have recently received a surge of interest due to their impressive performance for image restoration, especially in terms of noise robustness. However, existing di…