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MXR-U-Nets for Real Time Hyperspectral Reconstruction

2020-04-15 11:06:48
Atmadeep Banerjee, Akash Palrecha
arXiv_CV
           
Abstract

In recent times, CNNs have made significant contributions to applications in image generation, super-resolution and style transfer. In this paper, we build upon the work of Howard and Gugger, He et al. and Misra, D. and propose a CNN architecture that accurately reconstructs hyperspectral images from their RGB counterparts. We also propose a much shallower version of our best model with a 10% relative memory footprint and 3x faster inference, thus enabling real-time video applications while still experiencing only about a 0.5% decrease in performance.

Abstract (translated)

URL

https://arxiv.org/abs/2004.07003

PDF

https://arxiv.org/pdf/2004.07003.pdf

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