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Found 3 papers, 2 papers with code
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID
In this scenario, the ReID model must adapt to a complex target domain defined by a network of diverse video cameras based on tracklet information.
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification
Despite the recent success of deep learning architectures, person re-identification (ReID) remains a challenging problem in real-word applications.
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification
We argue that for pair-wise matchers that rely on metric learning, e. g., Siamese networks for person ReID, the unsupervised domain adaptation (UDA) objective should consist in aligning pair-wise dissimilarity between domains, rather than aligning feature representations.
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