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Chapter and Conference Paper
Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking
Person re-identification is a challenging task aiming to identify the same person across different cameras. However, most of existing image-based person re-identification methods neglect the spatial and tempo...
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Chapter and Conference Paper
OCET: One-Dimensional Convolution Embedding Transformer for Stock Trend Prediction
Due to the strong data fitting ability of deep learning, the use of deep learning for quantitative trading has gradually sprung up in recent years. As a classical problem of quantitative trading, Stock Trend P...