Dynamic neural network structure: A review for its theories and applications

J Guo, CLP Chen, Z Liu, X Yang - IEEE Transactions on Neural …, 2024 - ieeexplore.ieee.org
The dynamic neural network (DNN), in contrast to the static counterpart, offers numerous
advantages, such as improved accuracy, efficiency, and interpretability. These benefits stem …

[HTML][HTML] YOLOv7 Optimization Model Based on Attention Mechanism Applied in Dense Scenes

J Wang, J Wu, J Wu, J Wang, J Wang - Applied Sciences, 2023 - mdpi.com
With object detection technology, real-time detection of dense scenes has become an
important application requirement in various industries, which is of great significance for …

[HTML][HTML] Knowledge Distillation for Enhancing a Lightweight Magnet Tile Target Detection Model: Leveraging Spatial Attention and Multi-Scale Output Features

Q Huang, K Yang, Y Zhu, L Chen, L Cao - Electronics, 2023 - mdpi.com
Accurate and efficient sorting of diverse magnetic tiles during manufacturing is vital.
However, challenges arise due to visual similarities among types, necessitating complex …

[HTML][HTML] The Efficiency of YOLOv5 Models in the Detection of Similar Construction Details

T Kvietkauskas, E Pavlov, P Stefanovič… - Applied Sciences, 2024 - mdpi.com
Computer vision solutions have become widely used in various industries and as part of
daily solutions. One task of computer vision is object detection. With the development of …

YOLOv5-Sewer: Lightweight Sewer Defect Detection Model

X Zhao, N Xiao, Z Cai, S Xin - Applied Sciences, 2024 - mdpi.com
In the field of defect detection in sewers, some researches focus on high accuracy. However,
it is challenging for portable on-site devices to provide high performance. This paper …

Improving Vehicle Detection in Challenging Datasets: YOLOv5s and Frozen Layers Analysis

ANY Rafi, M Yusuf - International Journal of Informatics and …, 2023 - ijicom.respati.ac.id
Small datasets and imbalanced classes often cause problems when it used as primary
research material. In case of classification and object detection, some researchers proposed …

An adaptive output-feature knowledge distillation of YOLOv5 for identifying magnetic tiles

K Yang, Q Huang, Y Zhu - 2023 CAA Symposium on Fault …, 2023 - ieeexplore.ieee.org
Identifying magnetic tiles is vital in the sorting and transfer process of magnetic tile
manufacturing. Target detection algorithms empowered by deep learning facilitate accurate …