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VideoPro: A Visual Analytics Approach for Interactive Video Programming
Constructing supervised machine learning models for real-world video analysis require substantial labeled data, which is costly to acquire due to scarce domain expertise and laborious manual inspection.
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks
Recently, U-shaped networks have dominated the field of medical image segmentation due to their simple and easily tuned structure.
Global-Local Dynamic Feature Alignment Network for Person Re-Identification
To solve these problems, we propose a simple and efficient Local Sliding Alignment (LSA) strategy to dynamically align the local features of two images by setting a sliding window on the local stripes of the pedestrian.
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