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Automatic Illumination Spectrum Recovery
We develop a deep learning network to estimate the illumination spectrum of hyperspectral images under various lighting conditions.
A Hyperspectral and RGB Dataset for Building Facade Segmentation
Hyperspectral Imaging (HSI) provides detailed spectral information and has been utilised in many real-world applications.
Learning Dense Correspondence from Synthetic Environments
Results show that training 2D-3D mapping network models on synthetic data is a viable alternative to using real data.
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