AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images-Reference-Cited by-同舟云学术

AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images

Published:2022-09 Issue:5 Volume:36 Page:
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Guo Yunhui¹,Wang Chaofeng²^ORCID,Yu Stella X.³^ORCID,McKenna Frank⁴,Law Kincho H.⁵

Affiliation:

1. Postdoctoral Scholar, International Computer Science Institute, Univ. of California, Berkeley, Berkeley, CA 94704.

2. Assistant Professor, M.E. Rinker, Sr. School of Construction Management, College of Design, Construction and Planning, Univ. of Florida, Gainesvill, FL 32603 (corresponding author). ORCID: .

3. Director, International Computer Science Institute, Univ. of California, Berkeley, Berkeley, CA 94704. ORCID:

4. Research Engineer, Dept. of Civil and Environmental Engineering, Univ. of California, Berkeley, Berkeley, CA 94720.

5. Professor, Dept. of Civil and Environmental Engineering, Stanford Univ., Stanford, CA 94305.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0001034

Reference69 articles.

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3. Bhandare A. V. Sripathi D. Karkada V. Menon S. Choi K. Datta and V. Saletore. 2019. “Efficient 8-bit quantization of transformer neural machine language translation model.” Preprint submitted June 7 2019. http://arxiv.org/abs/1906.00532.

4. Bilen H. and A. Vedaldi. 2017. “Universal representations: The missing link between faces text planktons and cat breeds.” Preprint submitted January 28 2017. https://arxiv.org/abs/1701.07275.

5. Stochastic Gradient Descent Tricks

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