Search Results for author: Abdelrahman Shaker

Found 6 papers, 5 papers with code

Learnable Weight Initialization for Volumetric Medical Image Segmentation

1 code implementation15 Jun 2023 Shahina Kunhimon, Abdelrahman Shaker, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan

Hybrid volumetric medical image segmentation models, combining the advantages of local convolution and global attention, have recently received considerable attention.

Image Segmentation Organ Segmentation +2

XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models

1 code implementation13 Jun 2023 Omkar Thawkar, Abdelrahman Shaker, Sahal Shaji Mullappilly, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Jorma Laaksonen, Fahad Shahbaz Khan

The latest breakthroughs in large vision-language models, such as Bard and GPT-4, have showcased extraordinary abilities in performing a wide range of tasks.

Language Modelling Large Language Model

SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications

2 code implementations ICCV 2023 Abdelrahman Shaker, Muhammad Maaz, Hanoona Rasheed, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan

Using our proposed efficient additive attention, we build a series of models called "SwiftFormer" which achieves state-of-the-art performance in terms of both accuracy and mobile inference speed.

EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications

7 code implementations21 Jun 2022 Muhammad Maaz, Abdelrahman Shaker, Hisham Cholakkal, Salman Khan, Syed Waqas Zamir, Rao Muhammad Anwer, Fahad Shahbaz Khan

Our EdgeNeXt model with 1. 3M parameters achieves 71. 2% top-1 accuracy on ImageNet-1K, outperforming MobileViT with an absolute gain of 2. 2% with 28% reduction in FLOPs.

Image Classification Object Detection +1

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