Tag: computer vision

Researchers at UCLA and Cedars-Sinai developed a computer vision AI that classifies laparoscopic peg transfer performance with 84 percent accuracy, ...

Researchers have unveiled a quantum-fuzzy framework that uses frequency domain analysis to outperform leading detectors at spotting small objects in ...

A lightweight hybrid framework combining randomized convolutional feature extraction with extreme learning machines classifies vehicles in fog, rain, and drone ...

Researchers in Toronto fine-tuned the Segment Anything Model to automatically segment footwear outsoles, using the resulting contact areas to predict ...

Researchers at Cincinnati Children's Hospital developed a two-stage deep learning pipeline that detects endotracheal tubes on pediatric chest X-rays with ...

Artificial intelligence has conquered computer vision largely by brute force: feed enormous datasets into deep neural networks and let statistical ...

A new computer-vision technique could make hidden vibrations and subtle shape changes visible in objects whose boundaries are too complex ...