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Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval
In this paper, we propose a Graph Pattern Loss based Diversified Attention Network(GPLDAN) for unsupervised cross-modal retrieval to deeply analyze correlations among representations.
Divide-and-conquer methods for big data analysis
In the context of big data analysis, the divide-and-conquer methodology refers to a multiple-step process: first splitting a data set into several smaller ones; then analyzing each set separately; finally combining results from each analysis together.
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation
Liver lesion segmentation is a difficult yet critical task for medical image analysis.
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