2.6k citations · 3.1k across the 13 of their papers we have counts for
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A survey of the Vision Transformers and their CNN-Transformer based Variants
Asifullah Khan, Zunaira Rauf, Anabia Sohail +4
Vision transformers have become popular as a possible substitute to convolutional neural networks (CNNs) for a variety of computer vision applications. These transformers, with the…
CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images
Momina Liaqat Ali, Zunaira Rauf, Asifullah Khan +3
Transformers, due to their ability to learn long range dependencies, have overcome the shortcomings of convolutional neural networks (CNNs) for global perspective learning. Therefo…
Deep Neural Networks based Meta-Learning for Network Intrusion Detection
Anabia Sohail, Bibi Ayisha, Irfan Hameed +3
The digitization of different components of industry and inter-connectivity among indigenous networks have increased the risk of network attacks. Designing an intrusion detection s…