Computer Vision Puts a Song Dynasty Masterpiece to the Authenticity Test
A multidimensional computer vision framework measuring aspect ratio, ink coverage, and fractal boundary complexity finds that the disputed Song Dynasty ...
A multidimensional computer vision framework measuring aspect ratio, ink coverage, and fractal boundary complexity finds that the disputed Song Dynasty ...
Researchers have developed DELTA, an unsupervised domain adaptation model that combines a grouped divergence attention module with self-paced deep clustering ...
Researchers in Istanbul developed a ResNet50-based deep learning system that scores preclinical dental soap carvings on ten morphological criteria, achieving ...
A fine-tuned three-billion-parameter vision-language model learned to halt all traffic at simulated intersections when pedestrians were in danger, cutting their ...
Researchers have developed a transformer-based framework with local-global attention that identifies writers from scanned handwriting without reading the text, achieving ...
Researchers in India have developed CAT-Net, a hybrid deep learning model combining convolutional networks, coordinate attention, and Transformer encoders to ...
Researchers combined YOLOv8s and Pix2Pix with ant colony and particle swarm optimization to stabilize wrinkle detection and realistic cosmetic skin ...
Researchers at Institute of Science Tokyo combined epipolar geometry and appearance similarity to keep person identities consistent across multiple cameras, ...
Researchers in China have developed an unsupervised tensor decomposition algorithm that detects subtle, low-contrast fabric defects while keeping false alarms ...
Researchers have developed a multiobject tracking framework combining a nonlinear adaptive Kalman filter, multi-scale appearance enhancement, and trajectory stitching that ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine