Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models
J Zipfel, F Verworner, M Fischer, U Wieland… - Computers & Industrial …, 2023 - Elsevier
Across many industries, visual quality assurance has transitioned from a manual, labor-
intensive, and error-prone task to a fully automated and precise assessment of industrial …
intensive, and error-prone task to a fully automated and precise assessment of industrial …
Efficient guided evolution for neural architecture search
V Lopes, M Santos, B Degardin… - Proceedings of the …, 2022 - dl.acm.org
Neural Architecture Search methods have been successfully applied to image tasks with
excellent results. However, NAS methods are often complex and tend to quickly converge for …
excellent results. However, NAS methods are often complex and tend to quickly converge for …
An AutoML-based approach to multimodal image sentiment analysis
Sentiment analysis is a research topic focused on analysing data to extract information
related to the sentiment that it causes. Applications of sentiment analysis are wide, ranging …
related to the sentiment that it causes. Applications of sentiment analysis are wide, ranging …
[HTML][HTML] Are neural architecture search benchmarks well designed? A deeper look into operation importance
Abstract Neural Architecture Search (NAS) benchmarks significantly improved the capability
of developing and comparing NAS methods while at the same time drastically reduced the …
of developing and comparing NAS methods while at the same time drastically reduced the …
RADDA-Net: Residual attention-based dual discriminator adversarial network for surface defect detection
Surface defect detection is a critical yet challenging task in the product production process,
mainly because of the complex background texture on the material surface, the large intra …
mainly because of the complex background texture on the material surface, the large intra …
Long-Tailed Defects Classification Based on Probabilistic Aggregation Network for Light-Emitting Diode Packaging Process
J Chen, H Yin, Y Qin, W Jiang - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
Classifying different types of defects in light-emitting diode (LED) packaging poses a
challenging and complex task. The difficulty in collecting diverse defect types presents a …
challenging and complex task. The difficulty in collecting diverse defect types presents a …
[HTML][HTML] Guided evolutionary neural architecture search with efficient performance estimation
Abstract Neural Architecture Search (NAS) methods have been successfully applied to
image tasks with excellent results. However, NAS methods are often complex and tend to …
image tasks with excellent results. However, NAS methods are often complex and tend to …
OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System
Automatic optical inspection (AOI) plays a pivotal role in the manufacturing process,
predominantly leveraging high-resolution imaging instruments for scanning purposes. It …
predominantly leveraging high-resolution imaging instruments for scanning purposes. It …
[PDF][PDF] Improving Neural Architecture Search With Bayesian Optimization and Generalization Mechanisms
VF Lopes - 2024 - core.ac.uk
Os avanços nos domínios da Inteligência Artificial (IA) e da Aprendizagem Automática (AA)
permitiram obter resultados impressionantes em vários problemas. Estes avanços podem …
permitiram obter resultados impressionantes em vários problemas. Estes avanços podem …