Search Results for author:
Found 3 papers, 1 papers with code
IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic Segmentation
Semantic segmentation usually benefits from global contexts, fine localisation information, multi-scale features, etc.
Ranked #375 on
Image Classification
on ImageNet
Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks
Synthetic and field data were tested to assess the performance of the proposed algorithm (DSPRecon algorithm); the advantages of using our method were evaluated by comparing it with the singular spectrum analysis (SSA) method for irregular data reconstruction and de-aliased Cadzow method for regular data reconstruction.
Seismic data interpolation based on U-net with texture loss
In this study, a novel Seismic U-net InterpolaTor (SUIT) is proposed to preserve the seismic texture information while reconstructing the missing traces.
