computer-vision-7
De-aliasing
3260 papers • 126 benchmarks • 313 datasets
De-aliasing is the problem of recovering the original high-frequency information that has been aliased during the acquisition of an image.
(Image credit: Papersgraph)
Benchmarks
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Libraries
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Most implemented papers
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
Samira Ebrahimi Kahou, Vincent Michalski, Yoshua Bengio, Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, K. Sankaran, Julien Cornebise•Fri Feb 14 2020
HighRes-net is presented, the first deep learning approach to MFSR that learns its sub-tasks in an end-to-end fashion, and shows that by learning deep representations of multiple views, it can super-resolve low-resolution signals and enhance Earth Observation data at scale.