Research on Multi-side Joint Industrial Parts Inspection Based on Model Fusion
Author:
Affiliation:
1. The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China
2. College of Computer Science and Engineering, Chongqing University of Technology
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shanghai
Science and Technology Research Program of Chongqing Municipal Education Commission
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2055396
Reference23 articles.
1. Application of Convolutional Neural Network Based on Transfer Learning for Garbage Classification
2. Detection and classification of systemic sclerosis-related interstitial lung disease: a review
3. Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings
4. Dynamic Routing-based Multimodal Neural Network for Multi-sensory Fault Diagnosis of Induction Motor
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1. IUCNet: A Novel Semantic Segmentation Network for Overlapping Industrial Parts Detection;2023 International Conference on Computers, Information Processing and Advanced Education (CIPAE);2023-08-26
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