Today's deep learning methods focus on how to design the objective functions to make the
prediction as close as possible to the target. Meanwhile, an appropriate neural network …

Emerging computer vision measurement methods overcome the limitations of traditional
sensors. However, conventional digital image processing algorithms encounter issues of …

Accurately detecting green crisp plums is an important prerequisite for realizing a series of
orchard automation management technologies, including intelligent picking, accurate yield …

With the continuous advancement of remote sensing observation technology, wide-area
observation, and high-resolution imaging make remote sensing images contain a large …

Qanats are a remarkable type of ancient hydraulic structure for sustainable water distribution
in arid environments that use subterranean channels to transport water from highland or …

Vision transformers (ViTs) have emerged as a prevalent architecture for vision tasks owing
to their impressive performance. However, their complexity dramatically increases when …

Underwater biological detection technology holds considerable promise for delving into the
abundance of marine species and resources. It can seamlessly integrate into autonomous …

The object detection of natural images tends to obtain advanced semantic information
through multiple convolutions and pooling, ignoring the detailed information in the feature …

This paper focuses on real-time American Sign Language Detection. YOLO is a
convolutional neural network (CNN) based model, which was first released in 2015. In …

In transmission lines, regular inspections are crucial for maintaining their safe operation.
Automatic and accurate detection of power transmission facility components (power …