3 papers
eess.IV2024
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation
Zunaira Rauf, Abdul Rehman Khan, Asifullah Khan
Accurate nuclei segmentation is an essential foundation for various applications in computational pathology, including cancer diagnosis and treatment planning. Even slight variatio…
cs.CV2024
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…
hep-ph2024
Particle Multi-Axis Transformer for Jet Tagging
Muhammad Usman, M Husnain Shahid, Maheen Ejaz +5
Jet tagging is an essential categorization problem in high energy physics. In recent times, Deep Learning has not only risen to the challenge of jet tagging but also significantly…