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Chapter and Conference Paper
MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data
Feature engineering usually needs to excavate dense-and-implicit cross features from multi-filed sparse data. Recently, many state-of-the-art models have been proposed to achieve low-order and high-order feat...
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Chapter and Conference Paper
Low-Light Image Enhancement Based on Constrained Norm Estimation
Low-light images often suffer from poor quality and low visibility. Improving the quality of low-light image is becoming a highly desired subject in both computational photography and computer vision applicati...