BiRefNet C++ TENSORRT is designed to efficiently run bilateral reference segmentation tasks on the GPU. By harnessing TensorRT’s optimizations and CUDA kernels, it aims to deliver state-of-the-art ...
Abstract: Segment Anything Model (SAM) is a foundational image segmentation model, which shows superior performance for natural image segmentation tasks. Several SAM-based medical image segmentations ...
1 School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China 2 School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, ...
In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...
A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
Introduction: Laryngeal high-speed video (HSV) is a widely used technique for diagnosing laryngeal diseases. Among various analytical approaches, segmentation of glottis regions has proven effective ...
As shown below, the inferred masks predicted by our segmentation model trained on the PNG dataset appear similar to the ground truth masks, but lack precision in some areas. To improve segmentation ...
Human pose estimation is a cutting-edge computer vision technology that transforms visual data into actionable insights about human movement. By utilizing advanced machine learning models like ...
CNET’s expert staff reviews and rates dozens of new products and services each month, building on more than a quarter century of expertise. The result is a camera that can do some things phones simply ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback