Predictive uncertainty estimation is essential for deploying Deep Neural...
Predictive uncertainty estimation is essential for deploying Deep Neural...
Bayesian neural networks (BNNs) have been long considered an ideal, yet
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Deep neural networks (DNNs) are powerful learning models yet their resul...
During training, the weights of a Deep Neural Network (DNN) are optimize...
Face alignment is an active topic in computer vision, consisting in alig...
Particle Filter is an effective solution to track objects in video seque...