output
20172025
most citedAttention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels

49 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023★ 27 cited

Unsupervised Seismic Footprint Removal With Physical Prior Augmented Deep Autoencoder

Feng Qian, Yuehua Yue, Yu He +4

Seismic acquisition footprints appear as stably faint and dim structures and emerge fully spatially coherent, causing inevitable damage to useful signals during the suppression pro…

cs.CV2021★ 30 cited

MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation

Yimin Dou, Kewen Li, Jianbing Zhu +3

Data-driven fault detection has been regarded as a 3D image segmentation task. The models trained from synthetic data are difficult to generalize in some surveys. Recently, trainin…

cs.CV2021★ 49 cited

Attention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels

YiMin Dou, Kewen Li, Jianbing Zhu +2

Detection faults in seismic data is a crucial step for seismic structural interpretation, reservoir characterization and well placement. Some recent works regard it as an image seg…