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cs.CV2026
Interpretable Deepfake Detection in Videos via Explicit Forensic Features and Temporal Modeling
Chahira Benhama, Mohand Saïd Allili, Assia Hamadene
Deepfake detection in videos remains challenging, as manipulated content may appear visually consistent at the frame level while exhibiting subtle temporal inconsistencies. This pa…
cs.CV2026
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…
cs.CV2026
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…