In the electronics industry environment, rapid recognition of objects to be grasped from
digital images is essential for visual guidance of intelligent robots. However, electronic …

Rapid object recognition in the industrial field is the key to intelligent manufacturing. The
research on fast recognition methods based on deep learning was the focus of researchers …

Object detection is an important part of autonomous driving technology. To ensure the safe
running of vehicles at high speed, real‐time and accurate detection of all the objects on the …

Highlights What are the main findings? An improvement upon the state-of-the-art YOLOv8
model, proposing a high-performance and highly generalizable model for detecting tiny UAV …

The use of object detection algorithms has become extremely important in autonomous
vehicles. Object detection at high accuracy and a fast inference speed is essential for safe …

An improved YOLOv8s-based method is proposed to address the challenge of accurately
recognizing tiny objects in remote sensing images during practical human-computer …

Object detection in autonomous driving scenarios has become a popular task in recent
years. Due to the high-speed movement of vehicles and the complex changes in the …

The development of intelligent manufacturing often focuses on production flexibility,
customization and quality control, which are crucial for chip manufacturing. Specifically …

The" You only look once v4"(YOLOv4) is one type of object detection methods in deep
learning. YOLOv4-tiny is proposed based on YOLOv4 to simple the network structure and …

Deep learning has gradually become the mainstream object detection algorithm because of
its powerful feature extraction ability and adaptive ability. However, how to guarantee the …