78 citations · 87 across the 10 of their papers we have counts for
10 papers
Inhibited Self-Attention: Sharpening Focus in Vision Transformers
Peter R. D. van der Wal, Nicola Strisciuglio, George Azzopardi
Vision Transformers (ViTs) have demonstrated remarkable performance in computer vision tasks. However, their self-attention mechanism often diffuses focus across background regions…
PushPull-Net: Inhibition-driven ResNet robust to image corruptions
Guru Swaroop Bennabhaktula, Enrique Alegre, Nicola Strisciuglio +1
We introduce a novel computational unit, termed PushPull-Conv, in the first layer of a ResNet architecture, inspired by the anti-phase inhibition phenomenon observed in the primary…
Deep supervised hashing for fast retrieval of radio image cubes
Steven Ndung'u, Trienko Grobler, Stefan J. Wijnholds +2
The shear number of sources that will be detected by next-generation radio surveys will be astronomical, which will result in serendipitous discoveries. Data-dependent deep hashing…
Advances on the classification of radio image cubes
Steven Ndung'u, Trienko Grobler, Stefan J. Wijnholds +2
Modern radio telescopes will daily generate data sets on the scale of exabytes for systems like the Square Kilometre Array (SKA). Massive data sets are a source of unknown and rare…
To remove or not remove Mobile Apps? A data-driven predictive model approach
Fadi Mohsen, Dimka Karastoyanova, George Azzopardi
Mobile app stores are the key distributors of mobile applications. They regularly apply vetting processes to the deployed apps. Yet, some of these vetting processes might be inadeq…
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey
Anusha Aswath, Ahmad Alsahaf, Ben N. G. Giepmans +1
Automated and semi-automated techniques in biomedical electron microscopy (EM) enable the acquisition of large datasets at a high rate. Segmentation methods are therefore essential…