An Overview of Deeply Optimized Convolutional Neural Networks and Research in Surface Defect Classification of Workpieces
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3157293
Abstract: Currently, the development of industry is becoming increasingly rapid. Technicalization, informatization and industrialization give the fundamental impetus for industrial development and progress. Nevertheless, there are numerous problems that are hindering industrial progress and threatening human… read more here.
Keywords: neural networks; classification; classification workpieces; convolutional neural ... See more keywords
A New Cycle-consistent Adversarial Networks With Attention Mechanism for Surface Defect Classification With Small Samples
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3168432
Abstract: Surface defect detection is the essential process to ensure the quality of products. Surface defect classification (SDC) based on deep learning (DL) has shown its great potential. However, the well-trained SDC model usually requires large… read more here.
Keywords: attention mechanism; surface defect; new cycle; defect classification ... See more keywords
Toward Purifying Defect Feature for Multilabel Sewer Defect Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3250306
Abstract: An automatic vision-based sewer inspection plays a key role of sewage system in a modern city. Recent advances focus on utilizing a deep learning model to realize the sewer inspection system, benefiting from the capability… read more here.
Keywords: multilabel sewer; feature; sewer defect; sewer ... See more keywords
Bearing Defect Classification Algorithm Based on Autoencoder Neural Network
Sign Up to like & getrecommendations! Published in 2020 at "Advances in Civil Engineering"
DOI: 10.1155/2020/6680315
Abstract: The postproduction defect classification and detection of bearings still relies on manual detection, which is time-consuming and tedious. To address this, we propose a bearing defect classification network based on an autoencoder to enhance the… read more here.
Keywords: classification; bearing defect; defect classification; neural network ... See more keywords