Given the low resolution and noise of small targets, most target detection algorithms cannot
effectively utilize the edge and semantic information of small targets in feature maps, which …

In order to improve the accuracy and robustness of the small target detection for SSD (Single
Shot Multi-Box Detector) algorithm, this paper proposes an improved SSD algorithm. Firstly …

The original single-shot multibox detector (SSD) algorithm has good detection accuracy and
speed for regular object recognition. However, the SSD is not suitable for detecting small …

Abstract Single Shot multibox Detector (SSD) is a object detection algorithm that provides
the optimal trade-off among simplicity, speed and accuracy. The single use of detection …

Single shot multibox detector (SSD) takes several feature layers for object detection, but
each layer is used independently. This structure may ignore some context information and is …

In order to solve the problem of weak detection of small targets in traditional methods, an
improved object detection algorithm is proposed. First, the six multi-scale feature maps …

The feature layers of different layers in the single shot multibox detector (SSD) are
independently used as the input of the classification network, so it is easy to detect the same …

In order to improve the detection rate of the traditional single‐shot multibox detection
algorithm in small object detection, a feature‐enhanced fusion SSD object detection …

Abstract In the Single Shot MultiBox Detector (SSD) model, a significant limitation arises due
to the small size of many objects, leading to the extraction of limited feature information …

SSD (Single Shot MultiBox Detector) is one of the best object detection algorithms and is
able to provide high accurate object detection performance in real time. However, SSD …