Abstract In the realm of computer vision (CV), balancing speed and accuracy remains a significant challenge. Recent efforts have focused on developing lightweight networks that optimize computational ...
Metal artifacts, caused by high-density metallic implants in computed tomography (CT) imaging, severely degrade image quality, complicating diagnosis and treatment planning. While existing deep ...
AI has given cybercriminals a big advantage in attacking organizations, which they are using to go after weaknesses on edge devices ...
Physicists at UC Santa Cruz and other institutes across California and New Mexico have developed a detection system that will ...
Root Mean Square Error,Convolutional Neural Network,Feature Maps,Robotic System,Image Segmentation,Segmentation Accuracy,Adaptive Control,Attention Mechanism,Global Features,Local Features,Long ...
Meanwhile, on the TrashCan-Instance dataset, SvelteF3M-YOLO improves mAP 50–95 from 0.680 to 0.695 over YOLO11n. These results indicate that the proposed framework improves underwater detection ...
Wan et al. (2018) proposed a method for fresh tomato maturity detection using HSV color space for segmentation and edge detection for shape analysis. The method demonstrated promising performance in ...
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