This article proposes a practical and generalizable object detector, termed feature extraction-
fusion-prediction network (FEFP-Net) for real-world application scenarios. The existing …

Object detection plays a crucial role in scene understanding and has extensive practical
applications. In the field of remote sensing object detection, both detection accuracy and …

Object detection plays a key role in helping to enable industrial quality control and safety
monitoring. This article introduces a lightweight and efficient transformer-based object …

In the field of Earth observation and computer vision, oriented object detection for
remotesensing images is a crucial task that aims to locate objects more accurately in …

Ultrasound volume projection imaging has shown great promise to visualize spine features
and diagnose scoliosis thanks to its harmlessness, cheapness, and efficiency. The key to …

Accurate localization of apples is the key factor that determines a successful harvesting
cycle in the automation of apple harvesting for unmanned operations. In this regard …

Ship detection in synthetic aperture radar (SAR) remote sensing images is a fundamental
yet challenging task in Earth observation and measurement. However, existing deep …

In urban scenes, there are man-made ground objects with complex structures and significant
height differences, which leads to challenges in generating large-scale true digital …

Abstract One-class classification (OCC), ie, identifying whether an example belongs to the
same distribution as the training data, is essential for deploying machine learning models in …

Camouflaged object segmentation (COS) is a recently emerging task due to its broad
application prospect. The coloration and texture similarities between the objects and their …