[HTML][HTML] Deep learning in optical metrology: a review

C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan… - Light: Science & …, 2022 - nature.com
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …

The effectiveness of zero-day attacks data samples generated via GANs on deep learning classifiers

N Peppes, T Alexakis, E Adamopoulou, K Demestichas - Sensors, 2023 - mdpi.com
Digitization of most of the services that people use in their everyday life has, among others,
led to increased needs for cybersecurity. As digital tools increase day by day and new …

Different structured-light patterns in single-shot 2D-to-3D image conversion using deep learning

AH Nguyen, B Sun, CQ Li, Z Wang - Applied Optics, 2022 - opg.optica.org
Single-shot 3D shape reconstruction integrating structured light and deep learning has
drawn considerable attention and achieved significant progress in recent years due to its …

Dual-stage hybrid network for single-shot fringe projection profilometry based on a phase-height model

X Song, L Wang - Optics Express, 2023 - opg.optica.org
Single-shot fringe projection profilometry (FPP) is widely used in the field of dynamic optical
3D reconstruction because of its high accuracy and efficiency. However, the traditional …

Single-shot structured light projection profilometry with SwinConvUNet

W Lei, L Dunqiang, T Jiaqing… - Optical Engineering, 2022 - spiedigitallibrary.org
Structured light profilometry (SLP) is now widely utilized in noncontact three-dimensional
(3D) reconstruction due to its convenience in dynamic measurements. Compared with …

L2T-DFM: Learning to Teach with Dynamic Fused Metric

Z Hai, L Pan, X Liu, M Han - Pattern Recognition, 2025 - Elsevier
The loss function plays a crucial role in the construction of machine learning algorithms.
Employing a teacher model to set loss functions dynamically for student models has …

Probabilistic Pareto plan generation for semiautomated multicriteria radiation therapy treatment planning

T Zhang, R Bokrantz, J Olsson - Physics in Medicine & Biology, 2022 - iopscience.iop.org
Objective. We propose a semiautomatic pipeline for radiation therapy treatment planning,
combining ideas from machine learning–automated planning and multicriteria optimization …

Classification of short circuit marks in electric fire case with transfer learning and fine-tuning the convolutional neural network models

S Batool, J Bang - Journal of Electrical Engineering & Technology, 2023 - Springer
One of the most essential substances for detecting electric fire is electric fire short-circuit
marks. The traces of which can be found before and after the electric fire as the short circuit …

NAS-PRNet: neural architecture search generated phase retrieval net for off-axis quantitative phase imaging

X Shu, M Niu, Y Zhang, R Zhou - arXiv preprint arXiv:2210.14231, 2022 - arxiv.org
Single neural networks have achieved simultaneous phase retrieval with aberration
compensation and phase unwrapping in off-axis Quantitative Phase Imaging (QPI) …

Deep-learning based single-shot 3D reconstruction with simulated color-crosstalk and randomized extrinsics

T Liu, Y Xu, X Wang, S Mai - Optics Communications, 2025 - Elsevier
In recent years, many single-frame 3D reconstruction schemes based on fringe projection
profilometry (FPP) have been proposed. However, most single-frame reconstruction …