Quantization has become a crucial step for the efficient deployment of d...
Deep neural network (DNN) deployment has been confined to larger hardwar...
Deep neural networks (DNNs) demonstrate outstanding performance across m...
Deep neural networks (DNNs) offer the highest performance in a wide rang...
The rising performance of deep neural networks is often empirically
attr...
Deep neural networks (DNNs) are nowadays ubiquitous in many domains such...
The leap in performance in state-of-the-art computer vision methods is
a...
Batch-Normalization (BN) layers have become fundamental components in th...
Deep neural networks (DNNs) are nowadays ubiquitous in the computer visi...
Computationally expensive neural networks are ubiquitous in computer vis...
Action Unit (AU) Detection is the branch of affective computing that aim...
Pruning Deep Neural Networks (DNNs) is a prominent field of study in the...
Deep Neural Networks (DNNs) are ubiquitous in today's computer vision
la...
From medical research to gaming applications, gaze estimation is becomin...