Automatic underwater target detection plays a vital role in sonar image processing and
analysis, and its core task is to discriminate target categories and achieve precise …

Decision-making is still a significant challenge to realize fully autonomous driving. Using
deep reinforcement learning (DRL) to solve autonomous driving decision-making problems …

Arc sag is an important parameter in the design and operation and maintenance of
transmission lines and is directly related to the safety and reliability of grid operation. The …

With the development of deep learning, scene text detection methods have made great
progress in recent years. Most text detection methods are based on bounding box prediction …

Currently in the domain of facial analysis single task approaches for face detection and
landmark localization dominate. In this paper we draw attention to multi-task models solving …

This paper describes a new method for the detection of moving objects from moving camera
image sequences using an inertial measurement unit (IMU) sensor. Motion detection …

The single shot multi-box detector (SSD) exhibits low accuracy in small-object detection; this
is because it does not consider the scale contextual information between its layers, and the …

The advancement of convolutional neural networks (CNNs) has markedly progressed in the
field of face detection, significantly enhancing accuracy and recall metrics. Precision and …

Deep learning techniques have, to a certain extent, solved the problem of overreliance on
clinical experience for traditional acupoint localization, but the accuracy and repetition rate …

Automated decision making is still a significant challenge to realize fully autonomous
driving. A common method that encoding surrounding vehicles in a grid map is used to …