Catastrophic forgetting of previous knowledge is a critical issue in
con...
Keyword Spotting (KWS) models on embedded devices should adapt fast to n...
Recent advancement in Automatic Speech Recognition (ASR) has produced la...
Vision systems mounted on home robots need to interact with unseen class...
Recent advances in autonomous robotic technologies have highlighted the
...
Deep learning models dealing with image understanding in real-world sett...
Accurate scene understanding from multiple sensors mounted on cars is a ...
Deep neural networks are typically trained in a single shot for a specif...
Deep networks allow to obtain outstanding results in semantic segmentati...
Deep learning models achieve outstanding accuracy in semantic segmentati...
Federated Learning (FL) is a framework which enables distributed model
t...
Deep convolutional neural networks for semantic segmentation allow to ac...
Deep neural networks suffer from the major limitation of catastrophic
fo...
Deep learning frameworks allowed for a remarkable advancement in semanti...
The semantic segmentation of parts of objects in the wild is a challengi...
The aim of this paper is to give an overview of the recent advancements ...
Unsupervised Domain Adaptation (UDA) aims at improving the generalizatio...
The supervised training of deep networks for semantic segmentation requi...
Although deep learning architectures have shown remarkable results in sc...
Deep learning techniques have been widely used in autonomous driving sys...
Deep learning architectures exhibit a critical drop of performance due t...
Who are the most significant players in the history of men tennis? Is th...
Interactions between pedestrians, bikers, and human-driven vehicles have...