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 rapid advancements in the field of autonomous driving, the need for faster and more
accurate object detection frameworks has become a necessity. Many recent deep learning …

Autonomous driving is an important branch of artificial intelligence, and real-time and
accurate object detection is key to ensuring the safe and stable operation of autonomous …

Abstract This paper revives Densely Connected Convolutional Networks (DenseNets) and
reveals the underrated effectiveness over predominant ResNet-style architectures. We …

Recognition of safety helmets wearing by construction workers is a common target detection
topic in applications of deep learning-based image processing. This paper provides a study …

Small object detection has been a research hotspot in the field of computer vision.
Especially in complex backgrounds (CBs), SOD faces various challenges, including …

During the production of metal material, various complex defects may come into being on
the surface, together with large amount of background texture information, causing false or …

In the face of detection problems posed by complex textile texture backgrounds, different
sizes, and different types of defects, commonly used object detection networks have …

Although object detection is essential for recognizing hazardous situations in construction
sites where various objects coexist, existing systems fail to ensure real-time accuracy and …

Lung cancer is one of the most prevalent diseases worldwide, being the most common type
of cancer. Non-small cell lung cancer (NSCLC) with a five-year survival rate of less than …