all AI news
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction. (arXiv:2112.15362v4 [eess.IV] UPDATED)
Sept. 27, 2022, 1:13 a.m. | Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao
cs.CV updates on arXiv.org arxiv.org
Recently, hyperspectral imaging (HSI) has attracted increasing research
attention, especially for the ones based on a coded aperture snapshot spectral
imaging (CASSI) system. Existing deep HSI reconstruction models are generally
trained on paired data to retrieve original signals upon 2D compressed
measurements given by a particular optical hardware mask in CASSI, during which
the mask largely impacts the reconstruction performance and could work as a
"model hyperparameter" governing on data augmentations. This mask-specific
training style will lead to a hardware …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Vice President, Data Science, Marketplace
@ Xometry | North Bethesda, Maryland, Lexington, KY, Remote
Field Solutions Developer IV, Generative AI, Google Cloud
@ Google | Toronto, ON, Canada; Atlanta, GA, USA