Most Convolution Neural Network (CNN) based object detectors, to date, have been optimized for accuracy and/or detection performance on datasets typically comprised of well exposed 8-bits/pixel/channel Standard Dynamic Range (SDR) images. A major existing challenge in this area is accurately detect objects under extreme/difficult lighting conditions as SDR image trained detectors fail such chal...

Abstract In the DIMOSIC (DIfferent MOdels, Same Initial Conditions) project, forecasts from different global medium-range forecast models have been created based on same initial conditions. The dataset consists of 10-day deterministic seven and includes 122 dates spanning one calendar year. All are initialized ECMWF operational analyses to minimize differences due initialization. run at or near...