Seismic Layer Segmentation Models with Channel Attention Block in Carbon Storage Study-Reference-Cited by-同舟云学术

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Seismic Layer Segmentation Models with Channel Attention Block in Carbon Storage Study

Published:2024-06-03 Issue: Volume: Page:1-6
ISSN:
Container-title:Proceedings of the 2nd Workshop on Advances in Environmental Sensing Systems for Smart Cities
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Author:

Farady Isack¹^ORCID,Kuo Chia-Chen²^ORCID,Le Sang³^ORCID,Wang Chih-Wei²^ORCID,Ng Hui-Fuang⁴^ORCID,Lin Chih-Yang¹^ORCID,Wang Ming-Jen²^ORCID

Affiliation:

1. Department of Mechanical Engineering, National Central University, Taoyuan, Taiwan

2. National Applied Research Laboratories, Hsinchu, Taiwan

3. Yuan Ze University, Taoyuan, Taiwan

4. Department of Computer Science, University Tunku Abdul Rahman, Kampar, Malaysia

Publisher

ACM

Reference27 articles.

1. Robust Concurrent Detection of Salt Domes and Faults in Seismic Surveys using an Improved UNet Architecture

2. Hu Cao, Yueyue Wang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, and Manning Wang. 2022. Swin-unet: Unet-like pure transformer for medical image segmentation. In European conference on computer vision. Springer, 205--218.

3. Seismic attributes — A historical perspective

4. ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

5. Fault Detection on Seismic Structural Images Using a Nested Residual U-Net

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