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 …

Remote sensing object detection (RSOD), one of the most fundamental and challenging
tasks in the remote sensing field, has received long-standing attention. In recent years, deep …

Remote sensing image object detection is widely used in civil and military fields. The
important task is to detect objects such as ships, planes, airports, harbours and so on, and …

Optical remote sensing object detection is a challenging task, because of the complex
background interference, ambiguous appearances of tiny objects, densely arranged …

Deep learning (DL)-based object detection algorithms have gained impressive
achievements in natural images and have gradually matured in recent years. However …

目标检测是光学遥感图像解译中的核心问题, 在情报侦察, 目标监视, 灾害救援等领域均具有广泛
应用. 首先, 结合深度学习光学遥感图像目标检测算法研究进展, 对基于候选区域和回归分析的两 …

In recent years, deep learning has significantly reshaped numerous fields and applications,
fundamentally altering how we tackle a variety of challenges. Areas such as natural …

High-altitude UAV photography presents several challenges, including blurry images, low
image resolution, and small targets, which can cause low detection performance of existing …

目标检测的主要目的是在图像中快速精准地识别定位出预定义类别的目标.
而随着深度学习技术的不断发展, 检测算法在相应行业大, 中目标已达到了不错的成效 …

The detection of grain pests is of great significance to grain storage. However, in practice,
because the size of grain insects is too small to identify. In this paper, the feature fusion SSD …