Deep learning object detection in materials science: Current state and future directions

R Jacobs - Computational Materials Science, 2022 - Elsevier
Deep learning-based object detection models have recently found widespread use in
materials science, with rapid progress made in just the past two years. Scanning and …

MSSA‐Net: A novel multi‐scale feature fusion and global self‐attention network for lesion segmentation

Z Huang, X Zhang, G Zhang… - … and Computation: Practice …, 2022 - Wiley Online Library
In medical image segmentation tasks, it is typical to adopt convolutional neural networks
with a serial encoder‐decoder structure. However, mainstream networks cannot …

Granformer: A granular transformer net with linear complexity

K Wang, X Sun, T Shen - Neurocomputing, 2024 - Elsevier
Recently, transformer models have demonstrated excellent performance across various
intelligent applications owing to their ability to understand global context through self …

Nondestructive testing of runny salted egg yolk based on improved ConvNeXt‐T

H Chen, Y Chang, Y Chen, CK Liu… - Journal of Food …, 2024 - Wiley Online Library
Salted egg yolks from salted duck eggs are widely utilized in the domestic and international
food industry as both raw materials and ingredients. When salted egg yolks are not fully …

Object Detection Based on Embedding Internal and External Knowledge

Q Liu, X Wu - Chinese Conference on Pattern Recognition and …, 2022 - Springer
Object detection has great application value. It is frequently used in many fields such as
industry, transportation, security, aerospace, etc. In the object detection task, the objects are …

Research on Surface Defect Detection System of Chip Inductors Based on Machine Vision

X Li, X Pi, H Tang, J Qiu - … Conference on Artificial Intelligence Security and …, 2023 - Springer
Artificial inspection of surface defects in chip inductors faces issues such as low efficiency
and poor accuracy. To enhance production efficiency, increase intelligence, and reduce …

Deep Learning Approach to Recognition of Car Driver's Closed Eyes for Safety Reasons

N Andriyanov, V Dementev, K Vasiliev… - … Artificial Intelligence in …, 2022 - Springer
Today it is difficult to overestimate the role of artificial intelligence systems in various sectors
of the economy. One of the rapidly developing areas in the period of digitalization is the …