Small object detection (SOD) in optical images and videos is a challenging problem that
even state-of-the-art generic object detection methods fail to accurately localize and identify …

In this paper, we aim at sailboat and kayak detection from digital images using deep
learning. The main dataset is created by ourselves, we have collected the images at the …

In order to describe a journey, a story could be automatically generated from a group of
digital photographs. Most of the existing methods focus on descriptions of specific content of …

As an important research topic in the field of computer vision, object detection has been
successfully applied to several fields. YOLO is one of the popular frameworks for detection …

Augmented Reality (AR) is an advanced technology that can improve human life. It provides
the users an interactive experience where the real world objects are combined with the …

Visual relationship detection aims to locate objects in images and recognize the
relationships between objects. Traditional methods treat all observed relationships in an …

One of the main challenges in object detection tasks is to detect the small and messy targets
in complex backgrounds. For the marine radar images, this challenge is further aggravated …

The particular work environment of transmission lines makes it liable to malfunction because
of the foreign bodies attached to the power equipment. However, traditional detection …

The complex backgrounds of satellite videos and serious interference from noise and
pseudo-motion targets make it difficult to detect and track moving vehicles. Recently …

As affected by limited information and the complex background, the accuracy of small-target
water-floating garbage detection is low. To increase the detection accuracy, in this research …