MFFNet: Multi-Receptive Field Fusion Net for Microscope Steel Grain Grading-Reference-Cited by-同舟云学术

MFFNet: Multi-Receptive Field Fusion Net for Microscope Steel Grain Grading

Published:2022-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on Communication and Information Processing
language:
Short-container-title:

Author:

Sun Jiaxi¹^ORCID,Zhang Jiguang²^ORCID,Xu Shibiao³^ORCID,Meng Weiliang¹^ORCID,Zhang Xiaopeng¹^ORCID

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences, China and School of Artificial Intelligence, University of Chinese Academy of Sciences, China

2. Institute of Automation, Chinese Academy of Sciences, China

3. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3571662.3571670

Reference26 articles.

1. George S Baggs Paul Guerrier Andrew Loeb and Jason C Jones. 2020. Automated copper alloy grain size evaluation using a deep-learning CNN. arXiv preprint arXiv:2005.09634(2020). George S Baggs Paul Guerrier Andrew Loeb and Jason C Jones. 2020. Automated copper alloy grain size evaluation using a deep-learning CNN. arXiv preprint arXiv:2005.09634(2020).

2. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014). Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473(2014).

3. ImageNet: A large-scale hierarchical image database

4. Orhan Dengiz , Alice E Smith , and Ian Nettleship . 2005. Grain boundary detection in microstructure images using computational intelligence. Computers in industry 56, 8-9 ( 2005 ), 854–866. Orhan Dengiz, Alice E Smith, and Ian Nettleship. 2005. Grain boundary detection in microstructure images using computational intelligence. Computers in industry 56, 8-9 (2005), 854–866.

5. Mingyu Ding Bin Xiao Noel Codella Ping Luo Jingdong Wang and Lu Yuan. 2022. DaViT: Dual Attention Vision Transformers. arXiv preprint arXiv:2204.03645(2022). Mingyu Ding Bin Xiao Noel Codella Ping Luo Jingdong Wang and Lu Yuan. 2022. DaViT: Dual Attention Vision Transformers. arXiv preprint arXiv:2204.03645(2022).