Transformer-Based Semantic Segmentation for Recycling Materials in Construction-Reference-Cited by-同舟云学术

Transformer-Based Semantic Segmentation for Recycling Materials in Construction

Published:2024-01-25 Issue: Volume:34 Page:25-33
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Wang Xin¹²³⁴⁵,Han Wei¹²³⁴⁵,Mo Sicheng¹²³⁴⁵,Cai Ting¹²³⁴⁵,Gong Yijing¹²³⁴⁵,Li Yin¹²³⁴⁵,Zhu Zhenhua¹²³⁴⁵

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin–Madison.

2. Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin–Madison.

3. Research Assistant, Dept. of Computer Science, Univ. of California, Los Angeles.

4. Research Assistant, Dept. of Computer Sciences, Univ. of Wisconsin–Madison.

5. Research Assistant, Dept. of Animal and Diary Sciences, Univ. of Wisconsin–Madison.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485224.004

Reference19 articles.

1. Image segmentation of underfloor scenes using a mask regions convolutional neural network with two-stage transfer learning;Atkinson G. A.;Automation in Construction,2020

2. Proactive proximity monitoring with instance segmentation and unmanned aerial vehicle-acquired video-frame prediction;Bang S.;Computer-Aided Civil and Infrastructure Engineering,2021

3. ‘Looking beneath the surface’: A visual-physical feature hybrid approach for unattended gauging of construction waste composition;Chen J.;Journal of Environmental Management,2021

4. Twins: Revisiting the Design of Spatial Attention in Vision Transformers;Chu X.;Advances in Neural Information Processing Systems,2021

5. Image Segmentation Using K-means Clustering Algorithm and Subtractive Clustering Algorithm;Dhanachandra N.;Procedia Computer Science,2015