A Self-Supervised One-Shot Learning Approach for Seismic Noise Reduction
Neural networks have been used in various computer vision applications, including noise removal.However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data.To address this difficulty, this work introduces an adaptation of the Noise2Self algorithm featuring a one-shot learning approach tailored f