Video based target detection is an important research content in intelligent video
surveillance, which extracts foreground objects from background images in video …

The existing object detection algorithm based on the deep convolution neural network
needs to carry out multilevel convolution and pooling operations to the entire image in order …

Recent studies have achieved great progress on the object detection in terms of accuracy
and speed using convolutional neural networks (CNNs). However, no matter the one-stage …

Small object detection is a challenging problem in computer vision. It has been widely
applied in defense military, transportation, industry, etc. To facilitate in-depth understanding …

Detecting small objects is a challenging task due to their low resolution and noisy
representation even using deep learning methods. In this paper, we propose a novel object …

Existing object detection literature focuses on detecting a big object covering a large part of
an image. The problem of detecting a small object covering a small part of an image is …

Objects in unmanned aerial vehicle (UAV) images are generally small due to the high-
photography altitude. Although many efforts have been made in object detection, how to …

Traditional camera sensors rely on human eyes for observation. However, human eyes are
prone to fatigue when observing objects of different sizes for a long time in complex scenes …

With the increase of training data and the improvement of machine performance, the object
detection method based on convolutional neural network (CNN) has become the …

Despite recent advances, object detection in aerial images is still a challenging task.
Specific problems in aerial images makes the detection problem harder, such as small …