Video object detection, a basic task in the computer vision field, is rapidly evolving and
widely used. In recent years, deep learning methods have rapidly become widespread in the …

CNN is inspired from Primary Visual (V1) neurons. It is a typical deep learning technique
and can help teach machine how to see and identify objects. In the most recent decade …

Due to the increasing capability of drones and requirements to monitor remote areas, drone
surveillance is becoming popular. In case of natural disaster, it can scan the wide affected …

Forest fires are a huge ecological hazard, and smoke is an early characteristic of forest fires.
Smoke is present only in a tiny region in images that are captured in the early stages of …

Marine target detection technology plays an important role in sea surface monitoring, sea
area management, ship collision avoidance, and other fields. Traditional marine target …

During the past decade, deep learning is one of the essential breakthroughs made in
artificial intelligence. In particular, it has achieved great success in image processing …

3D point cloud-based place recognition is highly demanded by autonomous driving in GPS-
challenged environments and serves as an essential component (ie loop-closure detection) …

Context: Design models are essential for multiple tasks in software engineering, such as
consistency checking, code generation, and design-to-code tracing. Almost all of these …

Due to the complex underwater environment, underwater imaging often encounters some
problems such as blur, scale variation, color shift, and texture distortion. Generic detection …

Transformers have demonstrated remarkable accomplishments in several natural language
processing (NLP) tasks as well as image processing tasks. Herein, we present a deep …