Detecting small or tiny objects is always a difficult and challenging issue in computer vision.
In this paper, we provide a latest and comprehensive survey of deep learning-based …

With the increasing demand for search and rescue, it is highly demanded to detect objects of
interest in large-scale images captured by unmanned aerial vehicles (UAVs), which is quite …

In boat navigation, especially in complex sea conditions, the detection performance of the
tiny boat is related to the safety of boat sailing. However, due to the tiny boat occupying …

The perception of drones, also known as Unmanned Aerial Vehicles (UAVs), particularly in
infrared videos, is crucial for effective anti-UAV tasks. However, existing datasets for UAV …

Benefiting from the advanced deep learning techniques, significant achievements have
been made in generic object detection. Tiny object detection (TOD) is a challenging task in …

Small Object Detection (SOD) is an important machine vision topic because (i) a variety of
real-world applications require object detection for distant objects and (ii) SOD is a …

Existing construction monitoring systems rely on designated personnel to compare a
planned procedure in the instructional documents with an execution procedure on the …

Model-based decomposition methods are widely used in full-polarization synthetic aperture
radar (SAR), for the inversion and interpretation of ground features and constitute an …

Finding tiny persons under the drone vision was, is, and remains to be an integral and
challenging task. Unmanned aerial vehicles (UAVs) with high-speed, low-altitude, and multi …

Object counting is a fundamental task in remote sensing analysis. Nevertheless, it has been
barely studied compared with object counting in natural images due to the challenging …