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insight - Deep Learning for Hyperspectral Imaging
LUM-ViT: Learnable Under-Sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition at ICLR 2024
The author introduces LUM-ViT, a Vision Transformer variant, to address bandwidth constraints during signal acquisition by leveraging pre-acquisition modulation. The approach involves a learnable under-sampling mask tailored for optical calculations.
LUM-ViT: Learnable Under-Sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition at ICLR 2024
Deep learning model LUM-ViT reduces acquisition volume for hyperspectral data with under-sampling, maintaining accuracy.
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