The implementation is based on mmdetection. So the requirements are exactly the same as mmdetection v2.3.0rc0+8194b16. We tested on the following settings: python 3.7.7 cuda 10.1 pytorch 1.5.0 ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Abstract: Driven by the rapid advancements in deep learning technologies, the visual perception capabilities of unmanned aerial vehicles (UAVs) have been significantly enhanced. However, small object ...

Abstract: The rapid advancement of UAV technology is accelerating the intelligent transformation of object detection methods. UAV applications now span both civilian and military sectors, playing ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

I am working on an overhead object detection project using images with a resolution of 1280x1024. The objects are generally small (e.g., cars and people). The inference will be performed on the DPU.

Our friends over at Noah Data have written a research style paper, Introduction to Statistical Analysis and Outlier Detection Methods, that discusses how statistical data can generally be classified ...

Principles of glass formation -- Glass melting -- Immiscibility/phase separation -- Structures of glasses -- Viscosity of glass formaing melts -- Density and thermal expansion -- Transport properties ...