6 papers · 1 filter
Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation
Marina Chagas Bulach Gapski, Vinicius Atsushi Sato Kawai, Gustavo Rosseto Leticio +3
Feature extraction involves the identification and extraction of salient characteristics or patterns, including edges, textures, shapes, and color attributes. Contemporary feature…
CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation
Nassim Sadallah, Mohand Saïd Allili
Reliable crack detection and segmentation are vital for structural health monitoring, yet the scarcity of well-annotated data constitutes a major challenge. To address this limitat…
Saliency-Guided Deep Learning for Bridge Defect Detection in Drone Imagery
Loucif Hebbache, Dariush Amirkhani, Mohand Saïd Allili +1
Anomaly object detection and classification are one of the main challenging tasks in computer vision and pattern recognition. In this paper, we propose a new method to automaticall…
Unmasking Facial DeepFakes: A Robust Multiview Detection Framework for Natural Images
Sami Belguesmia, Mohand Saïd Allili, Assia Hamadene
DeepFake technology has advanced significantly in recent years, enabling the creation of highly realistic synthetic face images. Existing DeepFake detection methods often struggle…
Texture image retrieval using a classification and contourlet-based features
Asal Rouhafzay, Nadia Baaziz, Mohand Said Allili
In this paper, we propose a new framework for improving Content Based Image Retrieval (CBIR) for texture images. This is achieved by using a new image representation based on the R…
Efficient embedding network for 3D brain tumor segmentation
Hicham Messaoudi, Ahror Belaid, Mohamed Lamine Allaoui +5
3D medical image processing with deep learning greatly suffers from a lack of data. Thus, studies carried out in this field are limited compared to works related to 2D natural imag…