Abstract You Only Look Once (YOLO)-based object detectors have shown remarkable
accuracy for automated brain tumor detection. In this paper, we develop a novel BGF-YOLO …

Object detection, a crucial aspect of computer vision, has seen significant advancements in
accuracy and robustness. Despite these advancements, practical applications still face …

To efficiently and accurately detect minuscule foreign objects in the processing of Pu-erh
sun-dried green tea, ensuring food quality and consumer safety, this study innovatively …

Neural networks based on convolutional operations have achieved remarkable results in the
field of deep learning, but there are two inherent flaws in standard convolutional operations …

Neural networks based on convolutional operations have achieved remarkable results in the
field of deep learning, but there are two inherent flaws in standard convolutional operations …

The rapid development of unmanned aerial vehicle (UAV) technology has contributed to the
increasing sophistication of UAV-based object-detection systems, which are now extensively …

The maintenance level of rural roads is relatively low, and the automated detection of
pavement distress is easily affected by the shadows of rows of trees, weeds, soil, and …

To guarantee the stability and safety of industrial production, it is necessary to regulate the
behavior of employees. However, the high background complexity, low pixel count …

The crack is an important index to evaluate the damage degree of concrete structure. While,
the traditional algorithms of crack detection have complex operations and weak …

Synthetic Aperture Radar (SAR) has the advantage of continuous observation throughout
the day and in all weather conditions, and is used in a wide range of military and civil …