Abstract: YOLO-based neural networks offer a promising approach to enhancing real-time target recognition capabilities within cyber-physical systems. By leveraging a unified detection framework, they ...

Section 3 introduces the overall architecture of ESF-YOLO in detail and elaborates on the proposed targeted improvement strategies. Section 4 performs extensive experimental validation of the proposed ...

For object detection the study focuses on the neural network architecture of You Only Look Once (YOLO), particularly YOLO8. The complexity of the task is to detect pedestrians, cars, signals, and ...

We determine the most efficient cascade order of the three modules and compare previous detection networks based on randomly generated prediction sets from the three study areas. Compared with the ...

LeCun et al. proposed the convolutional neural network topology LeNet in 1998. LeNet is a common term for LeNet-5, a straightforward convolutional neural network. LeNet5’s architecture is relatively ...

In the new paper Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?, a research team from Google and DeepMind posits that understanding the connections between neural ...