Abstract: Deep learning is a data-driven technique that demands network models trained using big datasets. In seismic structure interpretation, it is very difficult, time-consuming, and relatively ...
MIDLAND, MI -- A newly released coffee table book chronicles the architectural transformation of Midland, Michigan, during the mid-20th century, documenting more than 400 structures built between 1930 ...
M2SH: A Hybrid Approach to Table Structure Recognition using Two-Stage Multi-Modality Feature Fusion
Abstract: Automatically recovering the original structure of tables from unstructured images is a challenging task, combining techniques from computer vision (CV) and natural language processing (NLP) ...
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