3 citations · 5 across the 6 of their papers we have counts for
6 papers
Extending CAM-based XAI methods for Remote Sensing Imagery Segmentation
Abdul Karim Gizzini, Mustafa Shukor, Ali J. Ghandour
Current AI-based methods do not provide comprehensible physical interpretations of the utilized data, extracted features, and predictions/inference operations. As a result, deep le…
Empirical Study of PEFT techniques for Winter Wheat Segmentation
Mohamad Hasan Zahweh, Hasan Nasrallah, Mustafa Shukor +2
Parameter Efficient Fine Tuning (PEFT) techniques have recently experienced significant growth and have been extensively employed to adapt large vision and language models to vario…
Zero-Shot Refinement of Buildings' Segmentation Models using SAM
Ali Mayladan, Hasan Nasrallah, Hasan Moughnieh +2
Foundation models have excelled in various tasks but are often evaluated on general benchmarks. The adaptation of these models for specific domains, such as remote sensing imagery,…
Buildings Classification using Very High Resolution Satellite Imagery
Mohammad Dimassi, Abed Ellatif Samhat, Mohammad Zaraket +3
Buildings classification using satellite images is becoming more important for several applications such as damage assessment, resource allocation, and population estimation. We fo…
Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery
Hasan Nasrallah, Mustafa Shukor, Ali J. Ghandour
Buildings' segmentation is a fundamental task in the field of earth observation and aerial imagery analysis. Most existing deep learning-based methods in the literature can be appl…
Synthetic training data generation for deep learning based quality inspection
Pierre Gutierrez, Maria Luschkova, Antoine Cordier +3
Deep learning is now the gold standard in computer vision-based quality inspection systems. In order to detect defects, supervised learning is often utilized, but necessitates a la…