Elon Musk’s Grok artificial intelligence chatbot will no longer edit “images of real people in revealing clothing” on the X ...
Abstract: The U-Net algorithm, with its unique network structure and excellent performance, has become a classic algorithm in the field of image semantic segmentation. However, there are still some ...
Abstract: The effectiveness and robustness of medical image segmentation algorithms inextricably depends on the quality and quantity of training data. Insufficient data continually restricts model ...
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, ...
Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...
Scientists have created an AI tool that could help doctors identify diseases quickly and accurately using only a small number of medical images. Credit: Victoria Kotlyarchuk/iStock A new artificial ...
ABSTRACT: Objective: Renal dynamic imaging, as an important tool for assessing renal function, is commonly used to test the perfusion and excretory functions of the kidney. In clinical diagnosis, ...
1 College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China 2 School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing, China LiDAR ...
"How to crop an image is a decision best made by people." After social media exploded with allegations that Twitter's image-cropping algorithm had a racial bias, the company said it investigated and ...
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