Unfortunately, most algorithms are not trained using the full business cycle data and, therefore, cannot detect evergreening. The third issue comes from the ‘selective labels’ problem.

It enables the proposed object detection algorithm to effectively overcome the limitations of conventional systems in dynamic and variable lighting scenarios. Additionally, we introduce a tailored ...

However, existing maritime object detection algorithms often neglect haze conditions or the unique characteristics of the maritime environment, resulting in decreased effectiveness in hazy weather. In ...

Copy-paste all small objects in each image 1 times in random places. I code it in this way: Algorithm: Augmentation for small object detection Input: Sample x, Policy v, Threshold thresh, Prob prob ...

In recent years, underwater object detection (UOD ... We design our model based on a popular detection backbone DINO. Since DINO includes a pyramid structure to obtain multi-scale features using the ...

Millimeter wave (mmWave) radar is promising for HAR due to its ability to penetrate non-metallic materials and provide high-resolution sensing. Traditional HAR methods using pointcloud ... In ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Wave and terahertz tech are reshaping RF with ultra-fast 6G, precision imaging, and sensing, driving innovation in components ...