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Structure-Aware Completion of Photogrammetric Meshes in Urban Road Environment
QingZhu, QishenShang, HanHu....
Published date-11/23/2020
ObjectDetection
Photogrammetric mesh models obtained from aerial oblique images have been widely used for urban reconstruction. However, the photogrammetric meshes also suffer from severe texture problems, especially on the road areas …
Stable Weight Decay Regularization
ZekeXie, IsseiSato, MasashiSugiyama....
Published date-11/23/2020
Weight decay is a popular regularization technique for training of deep neural networks. Modern deep learning libraries mainly use $L_{2}$ regularization as the default implementation of weight decay. \citet{loshchilov2018decoupled} demonstrated …
Conjecturing-Based Computational Discovery of Patterns in Data
J.P.Brooks, D.J.Edwards, C.E.Larson....
Published date-11/23/2020
Modern machine learning methods are designed to exploit complex patterns in data regardless of their form, while not necessarily revealing them to the investigator. Here we demonstrate situations where modern …
Characterization of Industrial Smoke Plumes from Remote Sensing Data
MichaelMommert, MarioSigel, MarcelNeuhausler....
Published date-11/23/2020
The major driver of global warming has been identified as the anthropogenic release of greenhouse gas (GHG) emissions from industrial activities. The quantitative monitoring of these emissions is mandatory to …
Learnable Gabor modulated complex-valued networks for orientation robustness
FelixRichards, AdelinePaiement, XianghuaXie....
Published date-11/23/2020
DataAugmentation
Robustness to transformation is desirable in many computer vision tasks, given that input data often exhibits pose variance within classes. While translation invariance and equivariance is a documented phenomenon of …
Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations
Ta-ChuKao, GuillaumeHennequin....
Published date-11/23/2020
Sylvester, Lyapunov, and algebraic Riccati equations are the bread and butter of control theorists. They are used to compute infinite-horizon Gramians, solve optimal control problems in continuous or discrete time, …