computer-vision-8
Seeing Beyond the Visible
3260 papers • 126 benchmarks • 313 datasets
The objective of this challenge is to automate the process of estimating the soil parameters, specifically, potassium (KKK), phosphorus pentoxide (P2O5P_2O_5P2O5), magnesium (MgMgMg) and pHpHpH, through extracting them from the airborne hyperspectral images captured over agricultural areas in Poland (the exact locations are not revealed). To make the solution applicable in real-life use cases, all the parameters should be estimated as precisely as possible.
(Image credit: Papersgraph)
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KITTI360-EX
KITTI360-EX
HYPERVIEW
HYPERVIEW
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Most implemented papers
Resolution-robust Large Mask Inpainting with Fourier Convolutions
Arsenii Ashukha, V. Lempitsky, Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park•Tue Sep 14 2021
This work proposes a new method called large mask inpainting (LaMa), which generalizes surprisingly well to resolutions that are higher than those seen at train time, and achieves this at lower parameter&time costs than the competitive baselines.
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