As a special type of transformer, vision transformers (ViTs) can be used for various computer
vision (CV) applications. Convolutional neural networks (CNNs) have several potential …

Among various calamities, conflagrations stand out as one of the most-prevalent and-
menacing adversities, posing significant perils to public safety and societal progress …

The detection of infrared vehicle targets by UAVs poses significant challenges in the
presence of complex ground backgrounds, high target density, and a large proportion of …

Object detection for remote sensing is a fundamental task in image processing of remote
sensing; as one of the core components, small or tiny object detection plays an important …

In tasks that require ship detection and recognition, the irregular shapes of ships and
complex backgrounds pose significant challenges. This paper presents an advanced …

SSD is a classical single-stage object detection algorithm, which predicts by generating
different scales of feature maps on different convolutional layers. However, due to the …

Underwater object detection plays a significant role in marine ecosystem research and
marine species conservation. The improvement of related technologies holds practical …

Traditional automatic pavement distress detection methods using convolutional neural
networks (CNNs) require a great deal of time and resources for computing and are poor in …

The underwater imaging environment is complex, and the application of conventional target
detection algorithms to the underwater environment has yet to provide satisfactory results …

As marine observation technology develops rapidly, underwater optical image object
detection is beginning to occupy an important role in many tasks, such as naval coastal …