Target detection is one of the most important research directions in computer vision.
Recently, a variety of target detection algorithms have been proposed. Since the targets have …

The segmentation of cervical cytology images plays an important role in the automatic analysis
of cervical cytology screening. Although deep learning-based segmentation methods are …

Infrared small target detection has made many breakthroughs in early warning, guidance and
battlefield intelligence. However, infrared small target occupies less pixels and lacks color …

Target detection based on deep learning is developing rapidly. However, small target detection
is still a challenge. In this paper, a simple and efficient network for small target detection …

To detect the targets of different sizes, multi-scale output is used by target detectors such as
YOLO V3 and DSSD. To improve the detection performance, YOLO V3 and DSSD perform …

In the task of synthetic aperture radar (SAR) ship detection, ship targets exhibit arbitrary
orientations and are closely aligned. In recent years, oriented bounding box (OBB)-based …

Deep learning-based synthetic aperture radar (SAR) ship detection methods are significant
in signal processing and radar imaging. However, these approaches always require large-…

In crowded scenes, one of the most important issues is that heavily overlapped objects are
hardly distinguished from each other since most of their pixels are shared and the visible …

Deep learning-based synthetic aperture radar (SAR) ship detection methods have achieved
significant progress. However, to locate the SAR ship targets accurately, it demands large-…

Underwater image enhancement has attracted much attention due to the rise of underwater
vision research in recent years. In real-world underwater scene, the images are always with …