Machine Vision for Collaborative Robotics Using Synthetic Data-Driven Learning-Reference-Cited by-同舟云学术

Machine Vision for Collaborative Robotics Using Synthetic Data-Driven Learning

Published:2021 Issue: Volume: Page:69-81
ISSN:1860-949X
Container-title:Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future
language:
Short-container-title:

Author:

Martínez-Franco Juan Camilo,Álvarez-Martínez David

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-80906-5_6

Reference33 articles.

1. Agrawal, P., Girshick, R., Malik, J.: Analyzing the Performance of Multilayer Neural Networks for Object Recognition. University of California, Berkeley (2014)

2. Bauer, W., Bender, M., Braun, M., Rally, P., Scholtz, O.: Lightweight robots in manual assembly – best to start simply! Examining companies’ initial experiences with lightweight robots. Frauhofer I40 Study (2016)

3. Deng, J., Dong, W., Socher, R., et al.: ImageNet: a large-scale hierarchical image database. In: IEEE Conference on Computer Vision and Pattern Recognition (2009)

4. Chi, J., Walia, E., Babyn, P., Wang, J., Groot, G., Eramian, M.: Thyroid nodule classification in ultrasound images by fine-tuning deep convolutional neural network. J. Digit. Imaging 30(4), 477–486 (2017). https://doi.org/10.1007/s10278-017-9997-y

5. Dosovitskiy, A., Fischer, P., Ilg, E., et al.: FlowNet: Learning Optical Flow with Convolutional Networks. University of Freibur and Technical University of Munich (2015)

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. The Expanding Role of Artificial Intelligence in Collaborative Robots for Industrial Applications: A Systematic Review of Recent Works;Machines;2023-01-13

2. Generating synthetic data for deep learning-based drone detection;APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS (AMEE’22): Proceedings of the 48th International Conference “Applications of Mathematics in Engineering and Economics”;2023