An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-Identification
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DOI: 10.1007/s11263-024-02057-z
Abstract: Person re-identification (ReID) has made great strides thanks to the data-driven deep learning techniques. However, the existing benchmark datasets lack diversity, and models trained on these data cannot generalize well to dynamic wild scenarios. To… read more here.
Keywords: person identification; world; dynamic wild; open world ... See more keywords