56 citations · 164 across the 24 of their papers we have counts for
5 papers · 1 filter
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans
Tanvir Mahmud, Md Awsafur Rahman, Shaikh Anowarul Fattah +1
Automatic lung lesions segmentation of chest CT scans is considered a pivotal stage towards accurate diagnosis and severity measurement of COVID-19. Traditional U-shaped encoder-de…
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies
Mert Al, Semih Yagli, Sun-Yuan Kung
The rapid rise of IoT and Big Data has facilitated copious data driven applications to enhance our quality of life. However, the omnipresent and all-encompassing nature of the data…
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks
Zejiang Hou, Sun-Yuan Kung
Network pruning has become the de facto tool to accelerate deep neural networks for mobile and edge applications. Recently, feature-map discriminant based channel pruning has shown…
Rethinking Class-Discrimination Based CNN Channel Pruning
Yuchen Liu, David Wentzlaff, S. Y. Kung
Channel pruning has received ever-increasing focus on network compression. In particular, class-discrimination based channel pruning has made major headway, as it fits seamlessly w…
Soft-Root-Sign Activation Function
Yuan Zhou, Dandan Li, Shuwei Huo +1
The choice of activation function in deep networks has a significant effect on the training dynamics and task performance. At present, the most effective and widely-used activation…