Divide and Conquer: Hybrid Pre-training for Person Search
Yanling Tian,
Di Chen,
Yunan Liu
et al.
Abstract:Large-scale pre-training has proven to be an effective method for improving performance across different tasks. Current person search methods use ImageNet pre-trained models for feature extraction, yet it is not an optimal solution due to the gap between the pre-training task and person search task (as a downstream task). Therefore, in this paper, we focus on pre-training for person search, which involves detecting and re-identifying individuals simultaneously. Although labeled data for person search is scarce… Show more
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