22 citations · 23 across the 3 of their papers we have counts for
3 papers
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation
Muhammad Hamza Sharif, Muzammal Naseer, Mohammad Yaqub +2
Recent attention-based volumetric segmentation (VS) methods have achieved remarkable performance in the medical domain which focuses on modeling long-range dependencies. However, f…
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting
Muhammad Hamza Sharif, Dmitry Demidov, Asif Hanif +2
High-resolution images are preferable in medical imaging domain as they significantly improve the diagnostic capability of the underlying method. In particular, high resolution hel…
Salient Mask-Guided Vision Transformer for Fine-Grained Classification
Dmitry Demidov, Muhammad Hamza Sharif, Aliakbar Abdurahimov +2
Fine-grained visual classification (FGVC) is a challenging computer vision problem, where the task is to automatically recognise objects from subordinate categories. One of its mai…