You only look once (YOLO) is being used as the most popular object detection software in
many intelligent video applications due to its ease of use and high object detection …

In this study, a real-time underwater onboard vision sensing system is developed for robotic
gripping. First, an efficient image enhancement method based on the Retinex theory is …

Deep neural networks (DNNs) have achieved great success in many object detection tasks.
However, such DNNS-based large object detection models are generally computationally …

To date, unmanned aerial vehicles (UAVs), commonly known as drones, have been widely
used in precision agriculture (PA) for crop monitoring and crop spraying, allowing farmers to …

In object detection there is high degree of skewedness for objects' visual separability. It is
difficult to distinguish object categories which demand dedicated classification. The deep …

Object detection is a technology that deals with recognizing classes of objects and their
location. It is used in many different areas, such as in face-detecting systems [16, 34, 37] …

We present a dataset specifically designed to be used as a benchmark to compare vision
systems in the RoboCup Humanoid Soccer domain. The dataset is composed of a collection …

The demand for object detection capability in edge computing systems has surged. As such,
the need for lightweight Convolutional Neural Network (CNN)-based object detection …

This work presents a study for building a Deep Vision pipeline suitable for the Robocup
Standard Platform League, a humanoid robot soccer tournament. Specifically, we focus on …

RoboCupJunior is a project-oriented competition for primary and secondary school students
that promotes robotics, computer science and programing. Through real life scenarios …