ASHFormer: Axial and Sliding Window-Based Attention With High-Resolution Transformer for Automatic Stratigraphic Correlation-Reference-Cited by-同舟云学术

ASHFormer: Axial and Sliding Window-Based Attention With High-Resolution Transformer for Automatic Stratigraphic Correlation

Author:

Liu Naihao¹^ORCID,Li Zhuo¹,Liu Rongchang²,Zhang Haidong³,Gao Jinghuai¹^ORCID,Wei Tao⁴,Si Jianlou⁵,Wu Hao⁶

Affiliation:

1. School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China

2. PetroChina Research Institute of Petroleum Exploration and Development (RIPED), CNPC, Beijing, China

3. Huawei Technology Company Ltd., Xi’an, China

4. Research Institute of Exploration and Development, Yumen Oilfield Company, CNPC, Jiuquan, China

5. Beijing Sensetime Technology Development Company Ltd., Beijing, China

6. School of Earth Resources, China University of Geosciences, Wuhan, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference57 articles.

2. Decoupled weight decay regularization;loshchilov;Proc Int Conf Learn Represent,2018

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