Small pixel targets in video images are difficult to detect. Aiming at the small pixel target in
urban road video, this paper proposed a novel detection method named Road_Net based …

To address the challenges of high complexity, poor real-time performance, and low
detection rates for small target vehicles in existing vehicle object detection algorithms, this …

Small object detection plays an important role in computer vision. However, in the existing
methods, the detections of small objects are prone to error detection and missing detection …

In order to improve the detection accuracy of small objects in road scenarios, a detection
algorithm, YOLOx-M is proposed. First, the last layer of the backbone uses the MobileVit …

In the deep learning algorithm, YOLOv4 and Faster R-CNN have achieved excellent target
detection performance. To improve the real-time detection of small targets in traffic signs, this …

In view of the poor accuracy of mainstream object detection algorithms in detecting tiny
objects, A tiny object detection algorithm based on improved YOLOv5 is proposed. The main …

Road target detection is a very challenging task in the field of computer vision because it is
easily affected by complex backgrounds and sparse features of small targets. YOLOv3 (You …

The development of intelligent vehicle involves many key technologies. The machine vision
technology based on deep learning has become one of the research hotspots because of its …

Small object detection is one of the difficulties in the development of computer vision,
especially in the case of complex image backgrounds, and the accuracy of small object …

Vehicle detection based on machine vision is an important part of urban intelligent
transportation, and vehicle detection technology combined with deep learning is the …