Good object proposal methods require high object detection recall, low computational cost, good localization accuracy, and repeatability. However, existing methods cannot always achieve a good balance ...

it is unclear which trade-offs are made when using them during object detection. We provide an in-depth analysis of twelve proposal methods along with four baselines regarding proposal repeatability, ...

dataset is an RGB-T object detection dataset. We preliminarily collected over 60000 RGB-T image pairs. Afterwards, we performed strict manual filtering and preprocessing, including: We abandoned the ...

A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it possible to run real-time object detection on devices with very ...

Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

In this study, the inner diameter measurement of the micro-hole was conducted by using a microprobing system with a method of local surface interaction force detection ... of the micro-hole was ...