Abstract: Object detection is a critical task in computer vision, with applications ranging from autonomous driving to medical imaging. Traditional object detection models, such as Fast R-CNN, have ...

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...

In the video, a cloned voice resembling Shashi Tharoor appeared to praise Pakistan’s diplomatic move after it withdrew its ...

Abstract: At present, mitosis detection in breast histopathology images is a critical issue for breast cancer grading. Due to the breast tissue having a complex structure, and mitosis and non-mitosis ...

Abstract: With the advancement of autonomous driving technologies, passengers increasingly engage in non-driving activities. However, these activities are often limited by motion sickness (MS), which ...

Abstract: A Convolutional Neural Network (CNN) are a class of artificial neural networks specifically designed to process data with a grid-like topology, such as images, making them well-suited for ...

Add Yahoo as a preferred source to see more of our stories on Google. NewsNation host Chris Cuomo warned CNN analyst Scott Jennings on Wednesday that if he keeps using the term “illegal aliens,” ...

Abstract: Detecting distant small objects under adverse visual conditions such as rain, fog, or low light remains a critical challenge in autonomous driving. To address this issue, we propose a novel ...

CNN anchor Dana Bash was taken aback by the Trump administration’s “coded” language echoing “Neo-Nazi” and “White Nationalist” rhetoric, exclaiming “Wow!” before leading a segment relentlessly calling ...

Abstract: Reliable road object detection is crucial for self-driving cars and intelligent transportation systems. However, vision-only techniques fail in low-visibility conditions such as fog, rain, ...