Abstract: Unsupervised person re-identification (Re-ID) performance enhancement hinges on extracting the most informative features from unlabeled person datasets. In recent approaches, proxy-based ...
Abstract: While graph neural networks (GNNs) excel in graph data analysis, most methods rely on extensive labeled data, which is often impractical due to labeling costs and complexity. To address this ...
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