Researchers at NYU Tandon School of Engineering have created VeriGen, the first specialized artificial intelligence model ...

Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss. Leveraging ...

An Object Detection Model for Power Lines With Occlusions ... this article proposes a new power line detection model based on you only look once X-s (YOLO X-s). First, based on the ... is 6.88% higher ...

Real Time Object Detection. To truly understand how YOLOv7 works, it’s essential for us to understand YOLOv7’s main objective, “ Real Time Object Detection”. Real Time Object Detection is a key ...

The classical object detection network showed insufficient performance in detecting images of tobacco brown spot disease with a large number of dense spots, inconspicuous features, and complex ...

Also, we introduce the basic structure and corresponding mathematical principles of Cascade R-CNN and Swin Transformer, and analyze the advantages of each module. Secondly, DOTA devkit is used to ...

Video object segmentation is accomplished by creating a background model of the scene and then looking for deviations from the model for each input frame. Semi-Supervised Video Object Segmentation ...