Cover Image

DCMSA: Multi-Head Self-Attention Mechanism Based on Deformable Convolution For Seismic Data Denoising

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mingwei, Wang, Yong, Li, Yingtian, Liu, Junheng, Peng, Huating, Li
Format:	Preprint
Published:	2024
Subjects:	Geophysics 86-10 I.4.4; I.6.5
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Graded Denoising of Seismic Data Based on Noise Estimation and Local Similarity
by: Yang, Xueting, et al.
Published: (2024)

High-resolution closed-loop seismic inversion network in time-frequency phase mixed domain
by: Liu, Yingtian, et al.
Published: (2024)

Fast Diffusion Model For Seismic Data Noise Attenuation
by: Peng, Junheng, et al.
Published: (2024)

The Nash-MTL-STCN Method For Prestack Three-Parameter Inversion
by: Liu, Yingtian, et al.
Published: (2024)

Strong noise attenuation of seismic data based on Nash equilibrium
by: Wang, Mingwei, et al.
Published: (2025)

Encoder-Inverter Framework for Seismic Acoustic Impedance Inversion
by: Peng, Junheng, et al.
Published: (2025)

Physics-Informed Cross-Learning for Seismic Acoustic Impedance Inversion and Wavelet Extraction
by: Peng, Junheng, et al.
Published: (2025)

Seismic Data Strong Noise Attenuation Based on Diffusion Model and Principal Component Analysis
by: Peng, Junheng, et al.
Published: (2023)

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints
by: Liu, Yingtian, et al.
Published: (2025)

Prior-Driven Self-Supervised Lightweight Method for Seismic Signal Denoising
by: Peng, Junheng, et al.
Published: (2024)

An Efficient Self-supervised Seismic Data Reconstruction Method Based on Self-Consistency Learning
by: Wang, Mingwei, et al.
Published: (2024)

Reclaiming First Principles: A Differentiable Framework for Conceptual Hydrologic Models
by: Vrugt, Jasper A., et al.
Published: (2026)

Three-dimensional inversion of gravity data using implicit neural representations and scientific machine learning
by: Mishra, Pankaj K, et al.
Published: (2025)

DeepInverse: A Python package for solving imaging inverse problems with deep learning
by: Tachella, Julián, et al.
Published: (2025)

Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution
by: Shi, Shijun, et al.
Published: (2025)

DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency
by: Fabian, Zalan, et al.
Published: (2023)

A High-Recall Cost-Sensitive Machine Learning Framework for Real-Time Online Banking Transaction Fraud Detection
by: R., Karthikeyan V., et al.
Published: (2026)

DEpiABS: Differentiable Epidemic Agent-Based Simulator
by: Gao, Zhijian, et al.
Published: (2026)

Frequency-Decomposed INR for NIR-Assisted Low-Light RGB Image Denoising
by: Shi, Ligen, et al.
Published: (2026)

DSCSNet: A Dynamic Sparse Compression Sensing Network for Closely-Spaced Infrared Small Target Unmixing
by: Tang, Zhiyang, et al.
Published: (2026)

Forests of Uncertaint(r)ees: Using tree-based ensembles to estimate probability distributions of future conflict
by: Mittermaier, Daniel, et al.
Published: (2025)

MdaIF: Robust One-Stop Multi-Degradation-Aware Image Fusion with Language-Driven Semantics
by: Li, Jing, et al.
Published: (2025)

The 2023/24 VIEWS Prediction Challenge: Predicting the Number of Fatalities in Armed Conflict, with Uncertainty
by: Hegre, Håvard, et al.
Published: (2024)

i-DEQ: A stable inertial deep equilibrium model for image restoration
by: Clerc, Antonin, et al.
Published: (2026)

How Does Environmental Information Disclosure Affect Corporate Environmental Performance? Evidence from Chinese A-Share Listed Companies
by: Lin, Zehao
Published: (2025)

Two Generalized Derivative-free Methods to Solve Large Scale Nonlinear Equations with Convex Constraints
by: Hamiss, Kabenge, et al.
Published: (2025)

FLD+: Data-efficient Evaluation Metric for Generative Models
by: Jeevan, Pranav, et al.
Published: (2024)

Learning Affine-Equivariant Proximal Operators
by: Savir, Oriel, et al.
Published: (2026)

HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting
by: Bui, Thanh Dan
Published: (2025)

Mapping The Layers of The Ocean Floor With a Convolutional Neural Network
by: Fernandes, Guilherme G. D., et al.
Published: (2024)

A unified Benchmark for Multi-Frame Image Restoration under Severe Refractive Warping
by: Shugaev, Maxim V., et al.
Published: (2026)

Analyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting
by: Lebedev, Andreas, et al.
Published: (2025)

Context-dependent Causality (the Non-Nonotonic Case)
by: Billfeld, Nir, et al.
Published: (2024)

Agentic AI for Financial Crime Compliance
by: Axelsen, Henrik, et al.
Published: (2025)

Remotely sensing stress evolution in elastic media: a passive approach to earthquake monitoring
by: Senobari, Nader Shakibay
Published: (2025)

U-Net-Like Spiking Neural Networks for Single Image Dehazing
by: Li, Huibin, et al.
Published: (2025)

Phase-Aware Wavelet-Based-Scattering Encoder-Decoder for Dense Predictions
by: Marrakchi, Ghassen, et al.
Published: (2026)

Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study
by: Bicher, Martin, et al.
Published: (2023)

Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise Dataset
by: Brummer, Benoit, et al.
Published: (2025)

A Roadmap for Multilingual, Multimodal Domain Independent Deception Detection
by: Boumber, Dainis, et al.
Published: (2024)