On the use of synthetic images in deep learning for defect recognition in industrial infrastructures-Reference-Cited by-同舟云学术

On the use of synthetic images in deep learning for defect recognition in industrial infrastructures

Published:2023-03-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 6th International Conference on Machine Vision and Applications
language:
Short-container-title:

Author:

Mailhe Clement¹^ORCID,Ammar Amine²^ORCID,Chinesta Francisco³^ORCID

Affiliation:

1. CNRS@CREATE Ltd., Singapore

2. LAMPA, ENSAM, France and CNRS@CREATE Ltd., Singapore

3. ESI Chair, PIMM, ENSAM, France

Funder

National Research Foundation Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589572.3589584

Reference40 articles.

1. Chai J Zeng H Li A Ngai EWT. Deep learning in computer vision: A critical review of emerging techniques and application scenarios. Mach Learn Appl 2021;6:100134. https://doi.org/10.1016/j.mlwa.2021.100134. 10.1016/j.mlwa.2021.100134

2. Chai J Zeng H Li A Ngai EWT. Deep learning in computer vision: A critical review of emerging techniques and application scenarios. Mach Learn Appl 2021;6:100134. https://doi.org/10.1016/j.mlwa.2021.100134.

3. Deep Learning in Object Detection: a Review

4. Wang C-Y , Bochkovskiy A , Liao H-YM . YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors 2022 . https://doi.org/10.48550/arXiv.2207.02696. 10.48550/arXiv.2207.02696 Wang C-Y, Bochkovskiy A, Liao H-YM. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors 2022. https://doi.org/10.48550/arXiv.2207.02696.

5. Omniverse Replicator | NVIDIA. NVIDIA Dev 2022. https://developer.nvidia.com/nvidia-omniverse-platform/replicator/ (accessed October 26, 2022 ). Omniverse Replicator | NVIDIA. NVIDIA Dev 2022. https://developer.nvidia.com/nvidia-omniverse-platform/replicator/ (accessed October 26, 2022).

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid Data Augmentation for Enhanced Crack Detection in Building Construction;Buildings;2024-06-25

2. Towards improving synthetic-to-real image correlation for instance recognition in structure monitoring;The Visual Computer;2024-03-19