Vehicle detection is an important component of intelligent transportation systems and
autonomous driving. However, in real-world vehicle detection scenarios, the presence of …

As one of the necessary cash crops in China and many other countries, wolfberry is
parasitized by multiple pests, and its yield is highly susceptible to being affected. On the …

A broad range of prior research has demonstrated that attention mechanisms offer great
potential in advancing the performance of deep convolutional neural networks (CNNs) …

In recent years, the protection and management of water environments have garnered
heightened attention due to their critical importance. Detection of small objects in unmanned …

Due to the large-scale changes of different forms of traffic signs and the rapid speed of
vehicles, the detection accuracy and real-time performance of general object detectors are …

Abstract Modern Printed Circuit Board Assembly (PCBA) manufacturing processes require
more accurate and robust defect inspection methods. Despite the potential of deep learning …

Having a tiny scale and few identifiable features, small objects are particularly difficult to
detect, especially when the image resolution is not high. Further, large-scale variation …

Object detectors based on deep learning can run smoothly on a terminal device in complex
traffic scenes, and the model compression method has become a research hotspot …

The unique traffic situation at roundabouts causes complex interactions between merging
vehicles, thereby increasing the likelihood of conflicts. Reliable prediction of conflict risk …

Small object detection in unmanned aerial vehicle images is always challenging due to the
low resolution and the limited amount of information that they contain. Many feature …