Abstract: The benefits of the quantum Monte Carlo algorithm heavily rely on the efficiency of the superposition state preparation. So far, most reported Monte Carlo algorithms use the Grover–Rudolph ...
Multi-Scale Feature Fusion Based on Piecewise Polynomial Activation Function for Image-Text matching
Abstract: Image-text matching remains challenging in big data processing. Matching accuracy is influenced by various factors, including the correlation between images and texts, feature extraction and ...
A new imaging method that can reveal objects concealed behind opaque materials like sand, fog and human tissue for instance, has been developed by researchers at the Institut Langevin in Paris and TU ...
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