56 citations · 129 across the 7 of their papers we have counts for
3 papers · 1 filter
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection
Alexander Wong, Mahmoud Famuori, Mohammad Javad Shafiee +3
Object detection remains an active area of research in the field of computer vision, and considerable advances and successes has been achieved in this area through the design of de…
EdgeSegNet: A Compact Network for Semantic Segmentation
Zhong Qiu Lin, Brendan Chwyl, Alexander Wong
In this study, we introduce EdgeSegNet, a compact deep convolutional neural network for the task of semantic segmentation. A human-machine collaborative design strategy is leverage…
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design
Alexander Wong, Zhong Qiu Lin, Brendan Chwyl
While deep neural networks have achieved state-of-the-art performance across a large number of complex tasks, it remains a big challenge to deploy such networks for practical, on-d…